In continuous wave (CW) radar systems, multiple signal copies impinge the receiver simultaneously. Often, undesired multipath and direct-path copies are many times stronger than potential targets. When applying matched filter signal processing techniques, the undesired signal components can mask weaker targets and decrease performance of post-processing techniques, such as target indication or estimation. In this manuscript, we propose a method of rejecting multipath-scattered returns over a continuous region in range and Doppler. We explore the computational cost of this method and additionally propose an approximate method of rejection which leverages the well-known discrete prolate spheroidal sequences (DPSS)–typically referred to as Slepian sequences–to gain a computational advantage. Results are shown to decrease the effective noise floor when applying matched filtering techniques as well as increase target signal-to-interference-plus-noise ratio (SINR) outside of an undesired multipath region. Comparisons are shown to traditional CW multipath removal in terms of rejection performance and run-time.

中文翻译：

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通过 Slepian 序列对连续波雷达进行多径抑制

在连续波 (CW) 雷达系统中，多个信号副本同时撞击接收器。通常，不需要的多路径和直接路径副本比潜在目标强很多倍。当应用匹配滤波器信号处理技术时，不需要的信号分量会掩盖较弱的目标并降低后处理技术的性能，例如目标指示或估计。在本手稿中，我们提出了一种在距离和多普勒连续区域上拒绝多径散射回波的方法。我们探索了这种方法的计算成本，并另外提出了一种近似的拒绝方法，该方法利用众所周知的离散扁长球体序列 (DPSS)——通常称为 Slepian 序列——来获得计算优势。结果表明，在应用匹配滤波技术时可降低有效本底噪声，并在不需要的多径区域外增加目标信号与干扰加噪声比 (SINR)。在拒绝性能和运行时间方面显示了与传统 CW 多径去除的比较。