基于匹配滤波和离散分数阶傅里叶变换的水下动目标LFM回波联合检测
doi: 10.3724/SP.J.1146.2006.00396
The Joint Detection to Underwater Moving Targets LFM Echo Based on Matched Filter and Discrete Fractional Fourier Transform
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摘要: 匹配滤波器是高斯白噪声背景下LFM回波的最优检测器，并且根据匹配滤波器输出的峰值位置可以获得目标距离的估计。有色混响噪声背景以及目标径向速度造成的回波和样本失配都将导致匹配滤波器检测性能和测距精度下降。结合匹配滤波的定位特性和分数阶傅里叶变换对LFM信号的聚焦特性，该文提出基于匹配滤波和离散分数阶傅里叶变换的联合检测方法。仿真结果表明联合检测方法性能优于单匹配滤波器，并且可以获得目标径向速度的近似估计。Abstract: Matched filter is the optimal detector of LFM echo under the Gaussian white noise background, and the estimation of target range can be achieved according to the peak position of the matched filters output. The colored reverberation background and the mismatch between echo and replica caused by targets radial velocity will both degrade the detection performance and the distance estimation precision. Combining the ranging property of matched filter and the focusing property of fractional Fourier transform to LFM signal, this paper proposes the joint detection method based on matched filter and discrete fractional Fourier transform. Simulation results show the joint detection method performs better than the pure matched filter, and the approximate estimation of targets radial velocity can be obtained by the joint detection method.
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