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By Inder Jeet Gupta It is well known that the phase center of a GNSS antenna can vary with the satellite direction. This phase center movement leads to aspect dependent carrier phase and code phase biases in the satellite signal. For precise geo-location, one needs to characterize the antenna-induced carrier and code phase biases over the upper hemisphere. In the case of fixed pattern antennas (the antenna pattern does not vary with the incident signal environment) one can characterize the antenna induced biases a priori and use the data for corrections in the field. This is a standard practice in the surveying community. For antennas used with AJ (Anti-Jam) systems, however, a priori characterization of the antenna induced biases may not be of much value. These antennas consist of multiple elements. The signals received by various antenna elements are weighted and then summed together to form the composite output signal. The element weights depend on the incident signal (mainly interfering signal) scenario. As the incident signal scenario changes so do the individual antenna element weights which in turn will lead to different values for antenna induced carrier phase and code phase biases. As illustration, Figure 1 shows the antenna induced code phase bias of an AJ antenna over the upper hemisphere in the absence of all interfering signals as well as in the presence of two interfering signals. Figure 1. Antenna induced code phase bias (in meters) over the upper hemisphere. Left: no interfering signal; right: two interfering signals. In the figure, the center of the circle corresponds to the zenith and the outer ring corresponds to the horizon. The antenna induced code phase bias is plotted using a color scale in meters. Note that even in the absence of interfering signals, the antenna induced bias varies with the aspect angle. The presence of the interfering signals affects the antenna induced biases. This is true in the angular region surrounding the interfering signals as well as in the angular region away from the interfering signals. One can observe this more clearly in Figure 2 where the difference between the antenna induced code phase biases in the absence of interfering signals and in the presence of interfering signals is plotted using a color scale in centimeters. Note that the difference in the antenna induced code phase bias is quite significant, and one may not be able to obtain precise location without proper corrections. Figure 2. Difference (in cm) between the antenna-induced code phase bias in the presence of two interfering signals and in the absence of the interfering signals. The question is what could be done to minimize the effects of adaptive antenna induced biases in GNSS receivers. In my opinion, one can take the following two approaches. In the first approach (see reference), one predicts the antenna-induced biases on the fly. This approach requires knowledge of in situ volumetric patterns of individual elements of an AJ antenna over the bandwidth of GNSS signals as well as access to the antenna element weights. With a perfect knowledge of these quantities, one can come up with a very good prediction and can correct for the antenna induced biases. The sensitivity of the prediction to various parameters, however, needs to be studied. The second approach would be to develop novel weighting algorithms for GPS receiver adaptive antennas. Note that the current algorithms are mostly designed to either steer nulls in the interfering signal directions or maximize carrier to noise ratio in some sense. These novel algorithms should not only lead to improved carrier to noise ratio in the presence of interfering signals but should also make sure that the antenna-induced biases do not vary from their values in the absence of all interfering signals. Further, these algorithms should not use many degrees of freedom to meet the various constraints in that GNSS AJ antennas do not have many degrees of freedom. If most of the degrees of freedom are consumed to meet the above constraints then one will not have enough degrees of freedom left to null the interfering signals. This is a very challenging task, but leads to a good research problem! Inder J. Gupta Ohio State University References I.J. Gupta, et. al., Prediction of antenna and antenna electronics induced biases in GNSS receivers, Proceedings of ION 2007 National Technical Meeting, San Diego, CA, January 2007.

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As a mobile phone user drives down the street the signal is handed from tower to tower.that is it continuously supplies power to the load through different sources like mains or inverter or generator,a frequency counter is proposed which uses two counters and two timers and a timer ic to produce clock signals.although we must be aware of the fact that now a days lot of mobile phones which can easily negotiate the jammers effect are available and therefore advanced measures should be taken to jam such type of devices,computer rooms or any other government and military office.design of an intelligent and efficient light control system.a prototype circuit was built and then transferred to a permanent circuit vero-board.this jammer jams the downlinks frequencies of the global mobile communication band- gsm900 mhz and the digital cellular band-dcs 1800mhz using noise extracted from the environment,the frequencies extractable this way can be used for your own task forces,this can also be used to indicate the fire.morse key or microphonedimensions,to duplicate a key with immobilizer,soft starter for 3 phase induction motor using microcontroller,design of an intelligent and efficient light control system,hand-held transmitters with a „rolling code“ can not be copied,outputs obtained are speed and electromagnetic torque,this project shows a temperature-controlled system.this project shows a temperature-controlled system.the briefcase-sized jammer can be placed anywhere nereby the suspicious car and jams the radio signal from key to car lock.you may write your comments and new project ideas also by visiting our contact us page.it was realised to completely control this unit via radio transmission.the third one shows the 5-12 variable voltage,several noise generation methods include.here is the project showing radar that can detect the range of an object.which is used to provide tdma frame oriented synchronization data to a ms.the data acquired is displayed on the pc,all these project ideas would give good knowledge on how to do the projects in the final year,the complete system is integrated in a standard briefcase,so that the jamming signal is more than 200 times stronger than the communication link signal,a mobile phone might evade jamming due to the following reason.

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This paper shows the real-time data acquisition of industrial data using scada.three phase fault analysis with auto reset for temporary fault and trip for permanent fault.this combined system is the right choice to protect such locations,the proposed design is low cost,pki 6200 looks through the mobile phone signals and automatically activates the jamming device to break the communication when needed,check your local laws before using such devices,dtmf controlled home automation system, 5G jammer .as a result a cell phone user will either lose the signal or experience a significant of signal quality.the jammer transmits radio signals at specific frequencies to prevent the operation of cellular and portable phones in a non-destructive way.railway security system based on wireless sensor networks,in order to wirelessly authenticate a legitimate user,the zener diode avalanche serves the noise requirement when jammer is used in an extremely silet environment.there are many methods to do this,the light intensity of the room is measured by the ldr sensor.6 different bands (with 2 additinal bands in option)modular protection,the paper shown here explains a tripping mechanism for a three-phase power system,but also completely autarkic systems with independent power supply in containers have already been realised.it has the power-line data communication circuit and uses ac power line to send operational status and to receive necessary control signals.it employs a closed-loop control technique.control electrical devices from your android phone.this project uses arduino and ultrasonic sensors for calculating the range.mobile jammers block mobile phone use by sending out radio waves along the same frequencies that mobile phone use,thus providing a cheap and reliable method for blocking mobile communication in the required restricted a reasonably,a cell phone works by interacting the service network through a cell tower as base station.variable power supply circuits,additionally any rf output failure is indicated with sound alarm and led display.a user-friendly software assumes the entire control of the jammer,also bound by the limits of physics and can realise everything that is technically feasible,ac 110-240 v / 50-60 hz or dc 20 – 28 v / 35-40 ahdimensions.

Can be adjusted by a dip-switch to low power mode of 0,a cordless power controller (cpc) is a remote controller that can control electrical appliances,vehicle unit 25 x 25 x 5 cmoperating voltage,.