Spectrally Constrained Active Sensing Waveform And Receiver Filter Design

We also consider the case of spectrally constrained waveform design for SAR and multiple-input, multiple-output (MIMO) SAR ground moving target indicator (GMTI). Here we show that by using Kronecker waveforms (one waveform embedded in another), it is possible to generate spectrally constrained waveforms that have low correlation zones. Furthermore, by using these Kronecker waveforms we are given control of the cross-correlation between the waveforms in the set. Using this approach we present a novel method for generating spectrally constrained waveform sets, which has not been explored in the recent literature. We demonstrate the efficacy of these waveforms using SAR and MIMO SAR GMTI simulations. This work is concluded by examining the possibilities and future directions of the spectrally constrained active sensing approaches described within. A major milestone is to perform tests using updated software defined radars. By doing this we can better understand the limitations of the designed waveforms and what parameters are more important than others. Here we could also understand how the non-linear effects of the transmitter and receiver front-end distort our signal and how to account for that in the design process. Finally, we would like to study improved methods of designing the receiver to improve detection and performance of these signals in extremely cluttered environments. All of these are critical to developing active sensing systems that can meet the upcoming stringent spectral requirements of the future.