Image and Signal Processing Methods

Flexible waveform-constrained optimization design method for cognitive radar

[+] Author Affiliations
Xiaowen Zhang

Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Information and Communication Engineering, Minhang District, Shanghai, China

Kaizhi Wang, Xingzhao Liu

Shanghai Jiao Tong University, Minhang District, Shanghai, China

J. Appl. Remote Sens. 11(3), 035001 (Jul 04, 2017). doi:10.1117/1.JRS.11.035001
History: Received January 22, 2017; Accepted June 12, 2017
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Abstract.  The problem of waveform optimization design for cognitive radar (CR) in the presence of extended target with unknown target impulse response (TIR) is investigated. On the premise of ensuring the TIR estimation precision, a flexible waveform-constrained optimization design method taking both target detection and range resolution into account is proposed. In this method, both the estimate of TIR and transmitted waveform can be updated according to the environment information fed back by the receiver. Moreover, rather than optimizing waveforms for a single design criterion, the framework can synthesize waveforms that provide a trade-off between competing design criteria. The trade-off is determined by the parameter settings, which can be adjusted according to the requirement of radar performance in each cycle of CR. Simulation results demonstrate that CR with the proposed waveform performs better than a traditional radar system with a fixed waveform and offers more flexibility and practicability.

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Citation

Xiaowen Zhang ; Kaizhi Wang and Xingzhao Liu
"Flexible waveform-constrained optimization design method for cognitive radar", J. Appl. Remote Sens. 11(3), 035001 (Jul 04, 2017). ; http://dx.doi.org/10.1117/1.JRS.11.035001


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