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Detection method of forward-scatter signal based on Rényi entropy 被引量:1

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摘要 The application scope of the forward scatter radar(FSR)based on the Global Navigation Satellite System(GNSS)can be expanded by improving the detection capability.Firstly,the forward-scatter signal model when the target crosses the baseline is constructed.Then,the detection method of the for-ward-scatter signal based on the Rényi entropy of time-fre-quency distribution is proposed and the detection performance with different time-frequency distributions is compared.Simula-tion results show that the method based on the smooth pseudo Wigner-Ville distribution(SPWVD)can achieve the best perfor-mance.Next,combined with the geometry of FSR,the influence on detection performance of the relative distance between the target and the baseline is analyzed.Finally,the proposed method is validated by the anechoic chamber measurements and the results show that the detection ability has a 10 dB improvement compared with the common constant false alarm rate(CFAR)detection.
出处 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2024年第4期865-873,共9页 系统工程与电子技术(英文版)
基金 This work was supported by the National Natural Science Foundation of China(62071475,61890541,62171447).
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