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Detection and Separation of Overlapped Quasi-LFMCW Signals Based on Periodic WHT Recurrent Filter
Received date: 2012-11-27
Revised date: 2013-07-11
Online published: 2013-08-08
Supported by
National Natural Science Foundation of China (61102167, 60972159);Aeronautical Science Foundation of China (20085184003)
For weak signal detection and separation of overlapped quasi-LFMCW signals with non-cooperative mode, a new algorithm based on periodic WHT recurrent filter is proposed by using LFMCW signal as an example. Then extend the use of the proposed algorithm to quasi-LFMCW signals with the relationship and difference between them. The proposed algorithm can realize the separation of overlapped quasi-LFMCW signals at low signal-to-noise ratio (SNR), also the separated signals can effectively suppress noise. Aimed at solving the core problem of the high energy signal's strong remainder and the weak energy signal's energy loss after the high energy signal's separation, a narrow frequency excision filter based on cell average is designed, which could not only sufficiently filter the high energy signal, but also keep the weak signal as completely as possible. Simulation results indicate that when false alarm probability is set to 0.01 and SNR is greater than -16 dB, the probability of detection reaches above 0.9. With respect to WHT and FrFT under the same condition, the detection performance is improved by 7 dB and 6 dB respectively. In addition, for overlapped quasi-LFMCW signals, when the weakest signal's SNR is greater than -7 dB, the correlation coefficients between separated and original signal component both exceed 0. 9.
ZHANG Limin , ZHONG Zhaogen , WANG Zezhong , WANG Jianxiong . Detection and Separation of Overlapped Quasi-LFMCW Signals Based on Periodic WHT Recurrent Filter[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013 , 34(11) : 2580 -2589 . DOI: 10.7527/S1000-6893.2013.0352
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