Fourier plane non-linear filtering algorithm for active sonar signal processing

F. Chan, B. Javidi
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引用次数: 0

Abstract

Nonlinear filtering techniques have been shown to provide good performance for pattern recognition applications. In this paper, we apply these techniques to active sonar processing and show improved performance of target echo ranging in highly reverberant environments. We propose an algorithm that eliminates the need for range and azimuthal data normalization after the matched filter by scaling the input signal prior to matched filtering.
主动声纳信号处理的傅里叶平面非线性滤波算法
非线性滤波技术已被证明在模式识别应用中具有良好的性能。本文将这些技术应用于主动声呐处理中,在高混响环境下目标回波测距性能得到了改善。我们提出了一种算法,通过在匹配滤波之前缩放输入信号,消除了匹配滤波后距离和方位数据归一化的需要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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