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Journal of Applied Remote Sensing

Flexible waveform-constrained optimization design method for cognitive radar
Author(s): Xiaowen Zhang; Kaizhi Wang; Xingzhao Liu
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Paper 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.

Paper Details

Date Published: 4 July 2017
PDF: 12 pages
J. Appl. Rem. Sens. 11(3) 035001 doi: 10.1117/1.JRS.11.035001
Published in: Journal of Applied Remote Sensing Volume 11, Issue 3
Show Author Affiliations
Xiaowen Zhang, Shanghai Jiao Tong Univ. (China)
Kaizhi Wang, Shanghai Jiao Tong Univ. (China)
Xingzhao Liu, Shanghai Jiao Tong Univ. (China)

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