2017/01/14 by Kumar Vijay Mishra, Yonina C. Eldar, Mishra, Kumar Vijay +1
Computer Science · Engineering · Mathematics · #Advanced SAR Imaging Techniques #Cognitive Radio Networks and Spectrum Sensing #FOS: Computer and information sciences #Information Theory (cs.IT) #Radar Systems and Signal Processing #cs.IT #math.IT
paper · pdf · doi:10.48550/arxiv.1701.03898
5 pages, 1 figure
arxiv created 2017/01/14 · openalex publication_date 2017/01/14 · arxiv updated 2017/01/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
A cognitive radar adapts the transmit waveform in response to changes in the radar and target environment. In this work, we analyze the recently proposed sub-Nyquist cognitive radar wherein the total transmit power in a multi-band cognitive waveform remains the same as its full-band conventional counterpart. For such a system, we derive lower bounds on the mean-squared-error (MSE) of a single-target time delay estimate. We formulate a procedure to select the optimal bands, and recommend distribution of the total power in different bands to enhance the accuracy of delay estimation. In particular, using Cramér-Rao bounds, we show that equi-width subbands in cognitive radar always have better delay estimation than the conventional radar. Further analysis using Ziv-Zakai bound reveals that cognitive radar performs well in low signal-to-noise (SNR) regions.