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Multiple Targets Detection of Linear Frequency-Modulated Continuous Wave Active Sonar Using Fractional Fourier Transform

机译:多个目标使用分数傅里叶变换检测线性频率调制的连续波活动声纳

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摘要

In order to improve the detection performance of active sonar and make up for the shortcomings of pulsed active sonar (PAS), linear frequency-modulated continuous wave (LFMCW) was applied in continuous active sonar (CAS). The expression of transmitting waveform was presented, and the echo model of underwater moving targets was established. To detect the LFMCW echoes, the received signal was first demodulated by the transmitting signal, resulting in a de-chirped signal. Unlike radar system, the target velocity of active sonar was not negligible, comparing with the sound velocity in water, and the de-chirped signal was also a LFM signal, whose chirp rate and frequency were related with the velocity and distance of the target. Fractional Fourier Transform (FRFT), a time-frequency analysis method which is generally used to detect and estimate LFM signals, was proposed to detect and estimate the de-chirped signal. In multiple targets situation, "CLEAN" algorithm was proposed to solve the problem of the detection interference from strong targets to weak targets. Simulations show that LFMCW active sonar with the de-chirp-FRFT receiver can get much higher processing gain than conventional PAS with a matched filter (MF) receiver. The resolutions of velocity and distance with the de-chirp-FRFT algorithm fully meets the needs of underwater target detection. The simulation result also shows that the proposed CLEAN algorithm can detect LFMCW multi-target echoes effectively.
机译:为了提高有源声纳的检测性能并弥补脉冲有源声纳(PAS)的缺点,在连续活动声纳(CAS)中施加线性频率调制的连续波(LFMCW)。提出了发射波形的表达,建立了水下移动目标的回声模型。为了检测LFMCW回波,所接收的信号首先由发送信号解调,导致脱啁啾信号。与雷达系统不同,有源声纳的目标速度不可忽略,与水中的声速相比,去啁啾信号也是LFM信号,其啁啾率和频率与目标的速度和距离有关。提出了一种通常用于检测和估计LFM信号的时频分析方法的分数傅里叶变换(FRFT),以检测和估计去啁啾信号。在多个目标情况下,提出了“清洁”算法来解决从强大目标到弱目标的检测干扰问题。模拟表明,使用DE-Chirp-FRFT接收器的LFMCW Active Sonar比具有匹配滤波器(MF)接收器的传统PA获得更高的处理增益。速度和距离与DE-CHIRP-FRFT算法的分辨率完全满足了水下目标检测的需求。仿真结果还表明,所提出的清洁算法可以有效地检测LFMCW多目标回波。

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