Chen Peng, Hou Chao-huan, Ma Xiao-chuan, Liang Yi-hui. The Joint Detection to Underwater Moving Targets LFM Echo Based on Matched Filter and Discrete Fractional Fourier Transform[J]. Journal of Electronics & Information Technology, 2007, 29(10): 2305-2308. doi: 10.3724/SP.J.1146.2006.00396
Citation:
Chen Peng, Hou Chao-huan, Ma Xiao-chuan, Liang Yi-hui. The Joint Detection to Underwater Moving Targets LFM Echo Based on Matched Filter and Discrete Fractional Fourier Transform[J]. Journal of Electronics & Information Technology, 2007, 29(10): 2305-2308. doi: 10.3724/SP.J.1146.2006.00396
Chen Peng, Hou Chao-huan, Ma Xiao-chuan, Liang Yi-hui. The Joint Detection to Underwater Moving Targets LFM Echo Based on Matched Filter and Discrete Fractional Fourier Transform[J]. Journal of Electronics & Information Technology, 2007, 29(10): 2305-2308. doi: 10.3724/SP.J.1146.2006.00396
Citation:
Chen Peng, Hou Chao-huan, Ma Xiao-chuan, Liang Yi-hui. The Joint Detection to Underwater Moving Targets LFM Echo Based on Matched Filter and Discrete Fractional Fourier Transform[J]. Journal of Electronics & Information Technology, 2007, 29(10): 2305-2308. doi: 10.3724/SP.J.1146.2006.00396
Matched filter is the optimal detector of LFM echo under the Gaussian white noise background, and the estimation of target range can be achieved according to the peak position of the matched filters output. The colored reverberation background and the mismatch between echo and replica caused by targets radial velocity will both degrade the detection performance and the distance estimation precision. Combining the ranging property of matched filter and the focusing property of fractional Fourier transform to LFM signal, this paper proposes the joint detection method based on matched filter and discrete fractional Fourier transform. Simulation results show the joint detection method performs better than the pure matched filter, and the approximate estimation of targets radial velocity can be obtained by the joint detection method.
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