Orthogonal Waveform Design and Performance Analysis in Radar Sensor Networks

In radar sensor networks (RSN), radar members are likely to interfere with each other if their waveforms are not properly designed. In this paper, we propose an orthogonal waveform model for RSN, which eliminates interference when no doppler shift is introduced. Additionally, we design both coherent and noncoherent RSN detection systems applying equal gain combination technique performed by clusterhead to take the advantage of spatial diversity. The latter scenario is more challenging as doppler-shift uncertainty results in more complicated implementation. Also, we analyzed the performance of both systems under the environment of doppler shift and interference. Monte Carlo simulation illustrates that our technique provides much better detection performance than that of single radar for fluctuating targets, in terms of probability of false alarm and miss detection. Conclusions are drawn based on our analysis and further related research areas are discussed.