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Volume 39 Issue 5
May  2017
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WAN Xianrong, CHENG Yiyao, YI Jianxin, ZHANG Xun. Novel Channel Estimation of Reference Signal Reconstruction for DTMB-based Passive Radar[J]. Journal of Electronics & Information Technology, 2017, 39(5): 1044-1050. doi: 10.11999/JEIT160796
Citation: WAN Xianrong, CHENG Yiyao, YI Jianxin, ZHANG Xun. Novel Channel Estimation of Reference Signal Reconstruction for DTMB-based Passive Radar[J]. Journal of Electronics & Information Technology, 2017, 39(5): 1044-1050. doi: 10.11999/JEIT160796

Novel Channel Estimation of Reference Signal Reconstruction for DTMB-based Passive Radar

doi: 10.11999/JEIT160796
Funds:

The National Key Research and Development Program (2016YFB0502403), The National Natural Science Foundation of China (61336102, 61371197, 61271400), The Support Program of Hubei Province (2015BCE075), The Postdoctoral Innovation Talent Support Program (BX201600117), The Natural Science Foundation of Hubei Province (2016CFA061)

  • Received Date: 2016-07-26
  • Rev Recd Date: 2016-11-07
  • Publish Date: 2017-05-19
  • The steady reference signal reconstruction is one of the key technologies of passive radar with digital waveform, and the accuracy of channel estimation is directly related to the reference signal purity. To deal with the problem of reference signal reconstruction for Digital Terrestrial Multimedia Broadcasting (DTMB) based passive radar when the receiving system samples at a non-integer multiples of the symbol rate, an improved channel estimation is proposed on the basis of matching pursuit algorithm which is based on the compression perception. Simulation results show that compared to the widely used time domain correlation algorithm and the Least Squares (LS) algorithm, the improved algorithm has better frequency adaptability and robustness, and performs superiorly in various channel environments. Real data processing results further demonstrate that it significantly raises the quality of the reconstructed signal using the proposed algorithm and provides a better condition for the target detection.
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