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Article

Adaptive Waveform Design for Cognitive Radar in Multiple Targets Situation

School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200210, China
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Entropy 2018, 20(2), 114; https://doi.org/10.3390/e20020114
Received: 18 December 2017 / Revised: 22 January 2018 / Accepted: 5 February 2018 / Published: 9 February 2018
(This article belongs to the Special Issue Radar and Information Theory)
In this paper, the problem of cognitive radar (CR) waveform optimization design for target detection and estimation in multiple extended targets situations is investigated. This problem is analyzed in signal-dependent interference, as well as additive channel noise for extended targets with unknown target impulse response (TIR). To address this problem, an improved algorithm is employed for target detection by maximizing the detection probability of the received echo on the promise of ensuring the TIR estimation precision. In this algorithm, an additional weight vector is introduced to achieve a trade-off among different targets. Both the estimate of TIR and transmit waveform can be updated at each step based on the previous step. Under the same constraint on waveform energy and bandwidth, the information theoretical approach is also considered. In addition, the relationship between the waveforms that are designed based on the two criteria is discussed. Unlike most existing works that only consider single target with temporally correlated characteristics, waveform design for multiple extended targets is considered in this method. Simulation results demonstrate that compared with linear frequency modulated (LFM) signal, waveforms designed based on maximum detection probability and maximum mutual information (MI) criteria can make radar echoes contain more multiple-target information and improve radar performance as a result. View Full-Text
Keywords: cognitive radar; waveform optimization; target detection; target estimation; multiple targets cognitive radar; waveform optimization; target detection; target estimation; multiple targets
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MDPI and ACS Style

Zhang, X.; Liu, X. Adaptive Waveform Design for Cognitive Radar in Multiple Targets Situation. Entropy 2018, 20, 114. https://doi.org/10.3390/e20020114

AMA Style

Zhang X, Liu X. Adaptive Waveform Design for Cognitive Radar in Multiple Targets Situation. Entropy. 2018; 20(2):114. https://doi.org/10.3390/e20020114

Chicago/Turabian Style

Zhang, Xiaowen; Liu, Xingzhao. 2018. "Adaptive Waveform Design for Cognitive Radar in Multiple Targets Situation" Entropy 20, no. 2: 114. https://doi.org/10.3390/e20020114

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