一种基于倒谱和匹配滤波器的水下宽带多高光目标速度估计方法

Z. Xiao, Ning Han
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引用次数: 0

摘要

本文研究了一种多高光目标回波模型,该模型认为目标相对声纳具有恒定的相对速度。回声通常相当于单个高光反射的叠加。由于主动声呐与目标的相对运动,回波被拉伸或压缩。此外,水下环境中还存在噪声和混响。这些都降低了目标速度估计的性能。倒频谱作为一种非线性信号运算方法,可以将时域的卷积运算转化为倒频谱域的求和运算。基于倒谱运算在周期信号检测中的良好性能,提出了一种基于倒谱的目标速度估计方法。该方法先发射一个组合脉冲信号,对接收到的回波依次进行匹配滤波和倒频谱运算,通过搜索倒频谱域中峰值的位置来估计目标的速度。仿真结果表明,该方法可以在低信噪比下以较小的计算量精确估计目标速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Underwater Wideband Multi-Highlight Active Target Velocity Estimation Method Based on Cepstrum and Matched Filter
In this paper, a multi-highlight target echo model is investigated, and the target is considered to be of a constant relative velocity to the sonar. The echo is usually equivalent to the superposition of reflections from single highlight. Due to the relative motion of the active sonar and the target, the echo is stretched or compressed. Moreover, noise and reverberation are existed in the underwater environment. All of the above degrade the performance of the target velocity estimation. As a nonlinear signal operation method, cepstrum can change the convolution operation in time domain into the summation operation in the cepstrum domain. Based on the good performance of cepstrum operation in detecting periodic signals, a cepstrum-based target velocity estimation method is proposed. In this method, a combined pulse signal is transmitted, and the received echo is successively subjected to Matched Filter and cepstrum operation, the position of the peak in the cepstrum domain is searched to estimate the velocity of the target. Simulation results demonstrated that the proposed method can estimate the target velocity precisely at low signal-to-noise ratio using small computational effort.
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