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Periodic FRFT-based Multi-component LFMCW Radar Signal Separating
Received date: 2012-05-17
Revised date: 2012-10-10
Online published: 2013-04-23
Supported by
National Natural Science Foundation of China (60902054); China Postdoctoral Science Foundation (20090460114, 201003758) *Corresponding author. Tel.: 0535-6635821 E-mail: fengliuhy@163.com
The interception and feature extraction of multi-component linear frequency modulation continuous waveform (LFMCW) signals is difficult to perform for a radar intelligence reconnaissance system. In order to fast detect and efficiently separate multi-component LFMCW radar signals, a novel method is presented. First, with the introduction of periodic fractional Fourier transform (PFRFT), the relationship between PFRFT and FRFT is analyzed, and the PFRFT of a LFMCW signal is discussed. Then, a numerical computation method of discrete PFRFT is given, and the separation of the multi-component LFMCW signals is realized by narrowband filtering on the periodic fractional Fourier domain (PFRFD) with CLEAN. Finally, simulation results show several conclusions: (a) the computation efficiency of PFRFT outperforms periodic Wigner-Hough transform (PWHT); (b) the LFMCW signal component has energy peak on a certain PFRFD and preserves its time-frequency characteristic after separating; (c) when the powers of two LFMCW signals are widely different, it is efficient to separate on the PFRFD, otherwise separation on the time domain is better; (d) when the two LFMCW signal components have similar powers and the signal noise ratio (SNR) is 0 dB, the correlation coefficients between the separated and original LFMCW signal components are both greater than 0.9.
HUANG Yu , LIU Feng , WANG Zezhong , XIANG Chongwen , DENG Bing . Periodic FRFT-based Multi-component LFMCW Radar Signal Separating[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013 , 34(4) : 846 -854 . DOI: 10.7527/S1000-6893.2013.0145
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