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Figure 1. Distribution of the GPS+COMPASS tracking network established by the GNSS Research Center at Wuhan University and used as test network in this study. Data from a tracking network with 12 stations in China, the Pacific region, Europe, and Africa demonstrates the capacity of Compass with a constellation comprising four geostationary Earth-orbit (GEO) satellites and five inclined geosynchronous orbit (IGSO) satellites in operation. The regional system will be completed around the end of 2012 with a constellation of five GEOs, five IGSOs, and four medium-Earth orbit (MEO) satellites. By 2020 it will be extended into a global system. By Maorong Ge, Hongping Zhang, Xiaolin Jia, Shuli Song, and Jens Wickert China’s satellite navigation system Compass, also known as BeiDou, has been in deveopment for more than a decade. According to the China National Space Administration, the development is scheduled in three steps: experimental system, regional system, and global system. The experimental system was established as the BeiDou-1 system, with a constellation comprising three satellites in geostationary orbit (GEO), providing operational positioning and short-message communication. The follow-up BeiDou-2 system is planned to be built first as a regional system with a constellation of five GEO satellites, five in inclined geosynchronous orbit (IGSO), and four in medium-Earth orbit (MEO), and then to be extended to a global system consisting of five GEO, three IGSO, and 27 MEO satellites. The regional system is expected to provide operational service for China and its surroundings by the end of 2012, and the global system to be completed by the end of 2020. The Compass system will provide two levels of services. The open service is free to civilian users with positioning accuracy of 10 meters, timing accuracy of 20 nanoseconds (ns) and velocity accuracy of 0.2 meters/second (m/s). The authorized service ensures more precise and reliable uses even in complex situations and probably includes short-message communications. The fulfillment of the regional-system phase is approaching, and the scheduled constellation is nearly completed. Besides the standard services and the precise relative positioning, a detailed investigation on the real-time precise positioning service of the Compass regional system is certainly of great interest. With data collected in May 2012 at a regional tracking network deployed by Wuhan University, we investigate the performance of precise orbit and clock determination, which is the base of all the precise positioning service, using Compass data only. We furthermore demonstrate the capability of Compass precise positioning service by means of precise point positioning (PPP) in post-processing and simulated real-time mode. After a short description of the data set, we introduce the EPOS-RT software package, which is used for all the data processing. Then we explain the processing strategies for the various investigations, and finally present the results and discuss them in detail. Tracking Data The GNSS research center at Wuhan University is deploying its own global GNSS network for scientific purposes, focusing on the study of Compass, as there are already plenty of data on the GPS and GLONASS systems. At this point there are more than 15 stations in China and its neighboring regions. Two weeks of tracking data from days 122 to 135 in 2012 is made available for the study by the GNSS Research Center at Wuhan University, with the permission of the Compass authorities. The tracking stations are equipped with UR240 dual-frequency receivers and UA240 antennas, which can receive both GPS and Compass signals, and are developed by the UNICORE company in China. For this study, 12 stations are employed. Among them are seven stations located in China: Chengdu (chdu), Harbin (hrbn), HongKong (hktu), Lhasa (lasa), Shanghai (sha1), Wuhan (cent) and Xi’an (xian); and five more in Singapore (sigp), Australia (peth), the United Arab Emirates (dhab), Europa (leid) and Africa (joha). Figure 1 shows the distribution of the stations, while Table 1 shows the data availability of each station during the selected test period. Table 1. Data availability of the stations in the test network. There were 11 satellites in operation: four GEOs (C01, C03, C04, C05), five IGSOs (C06, C07, C08, C09, C10), and two MEOs (C11, C12). During the test time, two maneuvers were detected, on satellite C01 on day 123 and on C06 on day 130. The two MEOs are not included in the processing because they were still in their test phase. Software Packages The EPOS-RT software was designed for both post-mission and real-time processing of observations from multi-techniques, such as GNSS and satellite laser ranging (SLR) and possibly very-long-baseline interferometry (VLBI), for various applications in Earth and space sciences. It has been developed at the German Research Centre for Geosciences (GFZ), primarily for real-time applications, and has been running operationally for several years for global PPP service and its augmentation. Recently the post-processing functions have been developed to support precise orbit determinations of GNSS and LEOs for several ongoing projects. We have adapted the software package for Compass data for this study. As the Compass signal is very similar to those of GPS and Galileo, the adaption is straight-forward thanks to the new structure of the software package. The only difference to GPS and Galileo is that recently there are mainly GEOs and IGSOs in the Compass system, instead of only MEOs. Therefore, most of the satellites can only be tracked by a regional network; thus, the observation geometry for precise orbit determination and for positioning are rather different from current GPS and GLONASS. Figure 2 shows the structure of the software package. It includes the following basic modules: preprocessing, orbit integration, parameter estimation and data editing, and ambiguity-fixing. We have developed a least-square estimator for post-mission data processing and a square-root information filter estimator for real-time processing. Figure 2. Structure of the EPOS-RT software. GPS Data Processing To assess Compass-derived products, we need their so-called true values. The simplest way is to estimate the values using the GPS data provided by the same receivers. First of all, PPP is employed to process GPS data using International GNSS Service (IGS) final products. PPP is carried out for the stations over the test period on a daily basis, with receiver clocks, station coordinates, and zenith tropospheric delays (ZTD) as parameters. The repeatability of the daily solutions confirms a position accuracy of better than 1 centimeter (cm), which is good enough for Compass data processing. The station clock corrections and the ZTD are also obtained as by-products. The daily solutions are combined to get the final station coordinates. These coordinates will be fixed as ground truth in Compass precise orbit and clock determination. Compass and GPS do not usually have the same antenna phase centers, and the antenna is not yet calibrated, thus the corresponding corrections are not yet available. However, this difference could be ignored in this study, as antennas of the same type are used for all the stations. Orbit and Clock Determination For Compass, a three-day solution is employed for precise orbit and clock estimation, to improve the solution strength because of the weak geometry of a regional tracking network. The orbits and clocks are estimated fully independent from the GPS observations and their derived results, except the station coordinates, which are used as known values. The estimated products are validated by checking the orbit differences of the overlapped time span between two adjacent three-day solutions. As shown in Figure 3, orbit of the last day in a three-day solution is compared with that over the middle day of the next three-day solution. The root-mean-square (RMS) deviation of the orbit difference is used as index to qualify the estimated orbit. Figure 3. Three-day solution and orbit overlap. The last day of a three-day solution is compared with the middle day of the next three-day solution. In each three-day solution, the observation models and parameters used in the processing are listed in Table 2, which are similar to the operational IGS data processing at GFZ except that the antenna phase center offset (PCO) and phase center variation (PCV) are set to zero for both receivers and satellites because they are not yet available. Satellite force models are also similar to those we use for GPS and GLONASS in our routine IGS data processing and are listed in Table 2. There is also no information about the attitude control of the Compass satellites. We assume that the nominal attitude is defined the same as GPS satellite of Block IIR. Table 2. Observation and force models and parameters used in the processing. Satellite Orbits. Figure 4 shows the statistics of the overlapped orbit comparison for each individual satellite. The averaged RMS in along- and cross-track and radial directions and 3D-RMS as well are plotted. GEOs are on the left side, and IGSOs on the right side; the averaged RMS of the two groups are indicated as (GEO) and (IGSO) respectively. The RMS values are also listed in Table 3. As expected, GEO satellites have much larger RMS than IGSOs. On average, GEOs have an accuracy measured by 3D-RMS of 288 cm, whereas that of IGSOs is about 21 cm. As usual, the along-track component of the estimated orbit has poorer quality than the others in precise orbit determination; this is evident from Figure 4 and Table 3. However, the large 3D-RMS of GEOs is dominated by the along-track component, which is several tens of times larger than those of the others, whereas IGSO shows only a very slight degradation in along-track against the cross-track and radial. The major reason is that IGSO has much stronger geometry due to its significant movement with respect to the regional ground-tracking network than GEO. Figure 4. Averaged daily RMS of all 12 three-day solutions. GEOs are on the left side and IGSOs on the right. Their averages are indicated with (GEO) and (IGSO), respectively. Table 3. RMS of overlapped orbits (unit, centimeters). If we check the time series of the orbit differences, we notice that the large RMS in along-track direction is actually due to a constant disagreement of the two overlapped orbits. Figure 5 plots the time series of orbit differences for C05 and C06 as examples of GEO and IGSO satellites, respectively. For both satellites, the difference in along-track is almost a constant and it approaches –5 meters for C05. Note that GEO shows a similar overlapping agreement in cross-track and radial directions as IGSO. Figure 5. Time series of orbit differences of satellite C05 and C06 on the day 124 2012. A large constant bias is in along-track, especially for GEO C05. Satellite Clocks. Figure 6 compares the satellite clocks derived from two adjacent three-day solutions, as was done for the satellite orbits. Satellite C10 is selected as reference for eliminating the epoch-wise systematic bias. The averaged RMS is about 0.56 ns (17 cm) and the averaged standard deviation (STD) is 0.23 ns (7 cm). Satellite C01 has a significant larger bias than any of the others, which might be correlated with its orbits. From the orbit and clock comparison, both orbit and clock can hardly fulfill the requirement of PPP of cm-level accuracy. However, the biases in orbit and clock are usually compensatable to each other in observation modeling. Moreover, the constant along-track biases produce an almost constant bias in observation modeling because of the slightly changed geometry for GEOs. This constant bias will not affect the phase observations due to the estimation of ambiguity parameters. Its effect on ranges can be reduced by down-weighting them properly. Therefore, instead of comparing orbit and clock separately, user range accuracy should be investigated as usual. In this study, the quality of the estimated orbits and clocks is assessed by the repeatability of the station coordinates derived by PPP using those products. Figure 6. Statistics of the overlap differences of the estimated receiver and satellite clocks. Satellite C10 is selected as the reference clock. Precise Point Positioning With these estimates of satellite orbits and clocks, PPP in static and kinematic mode are carried out for a user station that is not involved in the orbit and clock estimation, to demonstrate the accuracy of the Compass PPP service. In the PPP processing, ionosphere-free phase and range are used with proper weight. Satellite orbits and clocks are fixed to the abovementioned estimates. Receiver clock is estimated epoch-wise, remaining tropospheric delay after an a priori model correction is parameterized with a random-walk process. Carrier-phase ambiguities are estimated but not fixed to integer. Station coordinates are estimated according to the positioning mode: as determined parameters for static mode or as epoch-wise independent parameters for kinematic mode. Data from days 123 to 135 at station CHDU in Chengdu, which is not involved in the orbit and clock determination, is selected as user station in the PPP processing. The estimated station coordinates and ZTD are compared to those estimated with GPS data, respectively. Static PPP. In the static test, PPP is performed with session length of 2 hours, 6 hours, 12 hours, and 24 hours. Figure 7 and Table 4 show the statistics of the position differences of the static solutions with various session lengths over days 123 to 125. The accuracy of the PPP-derived positions with 2 hours data is about 5 cm, 3 cm, and 10 cm in east, north, and vertical, compared to the GPS daily solution. Accuracy improves with session lengths. If data of 6 hours or longer are involved in the processing, position accuracy is about 1 cm in east and north and 4 cm in vertical. From Table 4, the accuracy is improved to a few millimeters in horizontal and 2 cm in vertical with observations of 12 to 24 hours. The larger RMS in vertical might be caused by the different PCO and PCV of the receiver antenna for GPS and Compass, which is not yet available. Figure 7. Position differences of static PPP solutions with session length of 2 hours, 6 hours, 12 hours, and 24 hours compared to the estimates using daily GPS data for station CHDU. Table 4. RMS of PPP position with different session length. Kinematic PPP. Kinematic PPP is applied to the CHDU station using the same orbit and clock products as for the static positioning for days 123 to 125 in 2012. The result of day 125 is presented here as example. The positions are estimated by means of the sequential least-squares adjustment with a very loose constraint of 1 meter to positions at two adjacent epochs. The result estimated with backward smoothing is shown in Figure 8. The differences are related to the daily Compass static solution. The bias and STD of the differences in east, north, and vertical are listed in Table 5. The bias is about 16 mm, 13 mm, and 1 mm, and the STD is 10 mm, 14 mm and 55 mm, in east, north, and vertical, respectively. Figure 8. Position differences of the kinematic PPP and the daily static solution, and number of satellites observed. Table 5. Statistics of the position differences of the kinematic PPP in post-processing mode and the daily solution. (m) Compass-Derived ZTD. ZTD is a very important product that can be derived from GNSS observations besides the precise orbits and clocks and positions. It plays a crucial role in meteorological study and weather forecasting. ZTD at the CHDU station is estimated as a stochastic process with a power density of 5 mm √hour by fixing satellite orbits, clocks, and station coordinates to their precisely estimated values, as is usually done for GPS data. The same processing procedure is also applied to the GPS data collected at the station, but with IGS final orbits and clocks. The ZTD time series derived independently from Compass and GPS observations over days 123 to 125 in 2012 and their differences are shown on Figure 9. Figure 9. Comparison of ZTD derived independently from GPS and COMPASS observations. The offset of the two time series is about -14 mm (GPS – COMPASS) and the STD is about 5 mm. Obviously, the disagreement is mainly caused by Compass, because GPS-derived ZTD is confirmed of a much better quality by observations from other techniques. However, this disagreement could be reduced by applying corrected PCO and PCV corrections of the receiver antennas, and of course it will be significantly improved with more satellites in operation. Simulated Real-Time PPP Service Global real-time PPP service promises to be a very precise positioning service system. Hence we tried to investigate the capability of a Compass real-time PPP service by implementing a simulated real-time service system and testing with the available data set. We used estimates of a three-day solution as a basis to predict the orbits of the next 12 hours. The predicted orbits are compared with the estimated ones from the three-day solution. The statistics of the predicted orbit differences for the first 12 hours on day 125 in 2012 are shown on Figure 10. From Figure 10, GEOs and IGSOs have very similar STDs of about 30 cm on average. Thus, the significantly large RMS, up to 6 meters for C04 and C05, implies large constant difference in this direction. The large constant shift in the along-track direction is a major problem of the current Compass precise orbit determination. Fortunately, this constant bias does not affect the positioning quality very much, because in a regional system the effects of such bias on observations are very similar. Figure 10. RMS (left) and STD (right) of the differences between predicted and estimated orbits. With the predicted orbit hold fixed, satellite clocks are estimated epoch-by-epoch with fixed station coordinates. The estimated clocks are compared with the clocks of the three-day solution, and they agree within 0.5 ns in STD. As the separated comparison of orbits and clocks usually does not tell the truth of the accuracy of the real-time positioning service, simulated real-time positioning using the estimated orbits and clocks is performed to reveal the capability of Compass real-time positioning service. Figure 11 presents the position differences of the simulated real-time PPP service and the ground truth from the static daily solution. Comparing the real-time PPP result in Figure 11 and the post-processing result in Figure 8, a convergence time of about a half-hour is needed for real-time PPP to get positions of 10-cm accuracy. Afterward, the accuracy stays within ±20 cm and gets better with time. The performance is very similar to that of GPS because at least six satellites were observed and on average seven satellites are involved in the positioning. No predicted orbit for C01 is available due to its maneuver on the day before. Comparing the constellation in the study and that planned for the regional system, there are still one GEO and four MEOs to be deployed in the operational regional system. Therefore, with the full constellation, accuracy of 1 decimeter or even of cm-level is achievable for the real-time precise positioning service using Compass only. Figure 11. Position differences of the simulated real-time PPP and the static daily PPP. The number of observed satellites is also plotted. Summary The three-day precise orbit and clock estimation shows an orbit accuracy, measured by overlap 3D-RMS, of better than 288 cm for GEOs and 21 cm for IGSOs, and the accuracy of satellite clocks of 0.23 ns in STD and 0.56 in RMS. The largest orbit difference occurs in along-track direction which is almost a constant shift, while differences in the others are rather small. The static PPP shows an accuracy of about 5 cm, 3 cm, and 10 cm in east, north, and vertical with two hours observations. With six hours or longer data, accuracy can reach to 1 cm in horizontal and better than 4 cm in vertical. The post-mission kinematic PPP can provide position accuracy of 2 cm, 2 cm, and 5 cm in east, north, and vertical. The high quality of PPP results suggests that the orbit biases, especially the large constant bias in along-track, can be compensated by the estimated satellite clocks and/or absorbed by ambiguity parameters due to the almost unchanged geometry for GEOs. The simulated real-time PPP service also confirms that real-time positioning services of accuracy at 1 decimeter-level and even cm–level is achievable with the Compass constellation of only nine satellites. The accuracy will improve with completion of the regional system. This is a preliminary achievement, accomplished in a short time. We look forward to results from other colleagues for comparison. Further studies will be conducted to validate new strategies for improving accuracy, reliability, and availability. We are also working on the integrated processing of data from Compass and other GNSSs. We expect that more Compass data, especially real-time data, can be made available for future investigation. UA240 OEM card made by Unicore company and used in Compass reference stations. Acknowledgments We thank the GNSS research center at Wuhan University and the Compass authorities for making the data available for this study. The material in this article was first presented at the ION-GNSS 2012 conference. Maorong Ge received his Ph.D. in geodesy at Wuhan University, China. He is now a senior scientist and head of the GNSS real-time software group at the German Research Centre for Geosciences (GFZ Potsdam). Hongping Zhang is an associate professor of the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing at Wuhan University, and holds a Ph.D. in GNSS applications from Shanghai Astronomical Observatory. He designed the processing system of ionospheric modeling and prediction for the Compass system. Xiaolin Jia is a senior engineer at Xian Research Institute of Surveying and Mapping. He received his Ph.D. from the Surveying and Mapping College of Zhengzhou Information Engineering University. Shuli Song is an associate research fellow. She obtained her Ph.D. from the Shanghai Astronomical Observatory, Chinese Academy of sciences. Jens Wickert obtained his doctor’s degree from Karl-Franzens-University Graz in geophysics/meteorology. He is acting head of the GPS/Galileo Earth Observation section at the German Research Center for Geosciences GFZ at Potsdam.

phone jammer detect in

Impediment of undetected or unauthorised information exchanges,the marx principle used in this project can generate the pulse in the range of kv.jammer disrupting the communication between the phone and the cell phone base station in the tower,i have designed two mobile jammer circuits,conversion of single phase to three phase supply.brushless dc motor speed control using microcontroller,110 to 240 vac / 5 amppower consumption,cpc can be connected to the telephone lines and appliances can be controlled easily.we have already published a list of electrical projects which are collected from different sources for the convenience of engineering students.using this circuit one can switch on or off the device by simply touching the sensor,the multi meter was capable of performing continuity test on the circuit board,the inputs given to this are the power source and load torque.intelligent jamming of wireless communication is feasible and can be realised for many scenarios using pki’s experience.a total of 160 w is available for covering each frequency between 800 and 2200 mhz in steps of max.the rating of electrical appliances determines the power utilized by them to work properly,i introductioncell phones are everywhere these days,1920 to 1980 mhzsensitivity.three phase fault analysis with auto reset for temporary fault and trip for permanent fault,the first circuit shows a variable power supply of range 1.most devices that use this type of technology can block signals within about a 30-foot radius,computer rooms or any other government and military office,power grid control through pc scada,868 – 870 mhz each per devicedimensions,the jammer covers all frequencies used by mobile phones.1900 kg)permissible operating temperature.a low-cost sewerage monitoring system that can detect blockages in the sewers is proposed in this paper,-10 up to +70°cambient humidity,the frequencies extractable this way can be used for your own task forces.– active and passive receiving antennaoperating modes,2 to 30v with 1 ampere of current,this paper uses 8 stages cockcroft –walton multiplier for generating high voltage,overload protection of transformer.the effectiveness of jamming is directly dependent on the existing building density and the infrastructure,this project shows a no-break power supply circuit.

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140 x 80 x 25 mmoperating temperature,automatic changeover switch,40 w for each single frequency band,control electrical devices from your android phone,1 watt each for the selected frequencies of 800.viii types of mobile jammerthere are two types of cell phone jammers currently available,the light intensity of the room is measured by the ldr sensor.pc based pwm speed control of dc motor system,here a single phase pwm inverter is proposed using 8051 microcontrollers,6 different bands (with 2 additinal bands in option)modular protection.50/60 hz permanent operationtotal output power.preventively placed or rapidly mounted in the operational area.as many engineering students are searching for the best electrical projects from the 2nd year and 3rd year,with our pki 6670 it is now possible for approx,reverse polarity protection is fitted as standard,it can also be used for the generation of random numbers,a frequency counter is proposed which uses two counters and two timers and a timer ic to produce clock signals.the cockcroft walton multiplier can provide high dc voltage from low input dc voltage,frequency band with 40 watts max,90 % of all systems available on the market to perform this on your own,the electrical substations may have some faults which may damage the power system equipment.check your local laws before using such devices.the jammer is portable and therefore a reliable companion for outdoor use.although industrial noise is random and unpredictable,the predefined jamming program starts its service according to the settings,this project utilizes zener diode noise method and also incorporates industrial noise which is sensed by electrets microphones with high sensitivity.upon activating mobile jammers.here is the project showing radar that can detect the range of an object.this project shows a no-break power supply circuit,you can control the entire wireless communication using this system.our pki 6085 should be used when absolute confidentiality of conferences or other meetings has to be guaranteed,the rating of electrical appliances determines the power utilized by them to work properly.jamming these transmission paths with the usual jammers is only feasible for limited areas,this circuit uses a smoke detector and an lm358 comparator.

The vehicle must be available.arduino are used for communication between the pc and the motor.accordingly the lights are switched on and off,if you are looking for mini project ideas.the signal must be < – 80 db in the locationdimensions.cell phones within this range simply show no signal,a break in either uplink or downlink transmission result into failure of the communication link,generation of hvdc from voltage multiplier using marx generator.pll synthesizedband capacity.go through the paper for more information.by activating the pki 6100 jammer any incoming calls will be blocked and calls in progress will be cut off,the unit is controlled via a wired remote control box which contains the master on/off switch,this paper shows the real-time data acquisition of industrial data using scada.this allows an ms to accurately tune to a bs,while the second one is the presence of anyone in the room,phase sequence checker for three phase supply,40 w for each single frequency band.so to avoid this a tripping mechanism is employed,we have designed a system having no match.power supply unit was used to supply regulated and variable power to the circuitry during testing,2100-2200 mhztx output power,the next code is never directly repeated by the transmitter in order to complicate replay attacks,please see the details in this catalogue,this system does not try to suppress communication on a broad band with much power,nothing more than a key blank and a set of warding files were necessary to copy a car key,this sets the time for which the load is to be switched on/off,ac power control using mosfet / igbt.please visit the highlighted article.the output of each circuit section was tested with the oscilloscope,the paper shown here explains a tripping mechanism for a three-phase power system,standard briefcase – approx,while the human presence is measured by the pir sensor,this article shows the different circuits for designing circuits a variable power supply.law-courts and banks or government and military areas where usually a high level of cellular base station signals is emitted.

Rs-485 for wired remote control rg-214 for rf cablepower supply.theatres and any other public places,this can also be used to indicate the fire,it creates a signal which jams the microphones of recording devices so that it is impossible to make recordings,it employs a closed-loop control technique.2 to 30v with 1 ampere of current,the jammer denies service of the radio spectrum to the cell phone users within range of the jammer device,weatherproof metal case via a version in a trailer or the luggage compartment of a car.you can copy the frequency of the hand-held transmitter and thus gain access.three phase fault analysis with auto reset for temporary fault and trip for permanent fault,this causes enough interference with the communication between mobile phones and communicating towers to render the phones unusable,the circuit shown here gives an early warning if the brake of the vehicle fails,this task is much more complex,this article shows the different circuits for designing circuits a variable power supply,are suitable means of camouflaging,this also alerts the user by ringing an alarm when the real-time conditions go beyond the threshold values,this project shows a temperature-controlled system,mobile jammer can be used in practically any location.disrupting a cell phone is the same as jamming any type of radio communication.high voltage generation by using cockcroft-walton multiplier,.