Fast detection and parameter estimation for polyphase-code radar signal |
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Authors: | Xiaofeng Wang Runlan Tian Rui Zhou Chunyu Wang |
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Affiliation: | School of Aviation Operations and Services, Aviation University of Air Force, Changchun City, Jilin Province, China |
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Abstract: | The detection and parameter estimation for polyphase-code radar signal are analysed in this article. In view of the fact that traditional algorithms of signal detection and parameter estimation have enormous computational complexity, a joint fast algorithm employed fractional operation is proposed to detect the polyphase-code radar signal and estimate its modulation parameter. The proposed algorithm firstly detects the signal and estimates the sweep rate with the detection statistics derived from fractional autocorrelation. Then proposed algorithm achieves the estimation of other modulation parameters by using fractional Fourier transform (FrFT). Simulation results have verified the effectiveness of the proposed algorithm. Compared with traditional algorithms, proposed algorithm has identical performance of detection and parameter estimation, but can remarkably reduce computational cost. The proposed algorithm is suitable for the application of practical equipment. |
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Keywords: | Signal detection parameter estimation polyphase-code radar signal fractional autocorrelation fractional Fourier transform (FrFT) |
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