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| Fractional-delay Clutter Estimation for Passive Radar Based on Compressive Sensing |
| YANG Pengcheng①②③ LU Xiaode①② CHAI Zhihai①②③ ZHANG Dan①②③ YUE Qi①②③ YANG Jingmao①②③ |
①(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)
②(National Key Laboratory of Science and Technology on Microwave Imaging, Beijing 100190, China)
③(University of Chinese Academy of Sciences, Beijing 100049, China) |
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Abstract Signal-Clutter-Ratio (SCR) in reference channel is an important parameter for the evaluation of integration loss of passive radar. When PN sequence in the Digital Terrestrial Television Broadcast (DTTB) illuminator is utilized for SCR estimation, there will be the problem of fractional-delay received signal relative to local PN sequence, which leads to a severe deviation of SCR estimation. For this problem, a novel algorithm based on compressive sensing is proposed by exploiting the sparsity of signal in delay dimension. Simulation demonstrates that accurate estimation of delay and strength for signals of different strength can be obtained by the proposed algorithm, which ensures the accuracy of SCR estimation. The processing of experimental data shows that the whole SCR in the received data is relatively high and the integration loss is trivial, about 0.5 dB. In addition, SCR decreases with the length of baseline, which leads to the increase of integration loss.
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Received: 22 January 2017
Published: 14 June 2017
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Corresponding Authors:
YANG Pengcheng
E-mail: yang_peng_cheng@126.com
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