Waveform diversity for wireless sensing

Tariq Qureshi; Michael Zoltowski

doi:10.1117/12.785170

3 April 2008 Waveform diversity for wireless sensing

Tariq Qureshi, Michael Zoltowski

Proceedings Volume 6980, Wireless Sensing and Processing III; 698005 (2008) https://doi.org/10.1117/12.785170
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

In active sensing systems such as radar and sensor networks, one is interested in transmitting waveforms that possess an ideal thumbtack shaped ambiguity function. However, the synthesis of waveforms with the desired ambiguity function is a difficult problem in applied mathematics and more often than not, one needs to rely on developing waveforms with an ambiguity function that is close to the desired ambiguity function in some sense. Designing waveforms with ambiguity functions that possess certain desirable properties has been a well researched problem in the field of signal analysis. In this paper, we present a methodology for designing multiantenna adaptive waveforms with autocorrelation functions that allow perfect separation at the receiver. We focus on the 4×4 case and derive the conditions that the four waveforms must satisfy in order to achieve perfect separation. Using these conditions, we show that waveforms constructed using Golay complementary sequences, barker codes and quarter-band signals through kronecker products satisfy these conditions and are therefore seperable at the receiver. We also give examples of more general wavefom families that are matched to the environment and also of waveforms that do not necessarily satisfy the conditions for perfect separation but still have good delay-Doppler ambiguity functions making them suitable for sensing environments.

Citation Download Citation

Tariq Qureshi and Michael Zoltowski "Waveform diversity for wireless sensing", Proc. SPIE 6980, Wireless Sensing and Processing III, 698005 (3 April 2008); https://doi.org/10.1117/12.785170

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