Sea Clutter Cancellation for Passive Radar Sensor Exploiting Multi-Channel Adaptive Filters

Sea Clutter Cancellation for Passive Radar Sensor Exploiting Multi-Channel Adaptive Filters
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DOI:
10.1109/jsen.2018.2879879
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发表时间:
2019-02-01
影响因子:
4.3
通讯作者:
Huang, Yongming
Huang, Yongming
中科院分区:
综合性期刊2区
文献类型:
--
作者:
Liu, Shengheng;Ma, Yahui;Huang, Yongming

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由于低速海面目标的多普勒频率与海杂波频谱非常接近,因此,在无源雷达传感器中抑制海杂波是一个具有挑战性的问题。传统的基于单通道高通滤波器的杂波抑制方法仅在杂波集中于低多普勒区域时有效。然而,对于具有扩展频谱的海杂波,这些方法必须损害目标信号接收。也就是说,它们要么形成不能有效抑制杂波的窄陷波,要么产生同时减轻低速目标信号的加宽零陷。因此,需要设计一种滤波器,其形成足够宽以覆盖整个杂波频谱的陷波,其中频率响应在杂波频带之外急剧上升到高增益。为此,在本文中,我们开发了一种广义的多通道自适应滤波器,通过在杂波谱内的一组离散频率上形成多个尖锐的陷波,实现有效的杂波抑制和目标信号保存。我们专注于快速频域实现,并在频率响应,信号能量损失和计算复杂度方面的性能分析也被提出。所提出的方法的有效性进行了验证,使用实际数据的结果。
Sea clutter suppression in passive radar sensor is a challenging problem because the Doppler frequencies of low-velocity sea-surface targets are typically close to the spectrum of the sea clutter. Conventional approaches based on single-channel high-pass filters are effective for clutter suppression only when the clutter is concentrated in low Doppler region. For sea clutter that has a spread spectrum, however, these approaches have to compromise target signal reception. That is, they either form a narrow notch which does not effectively suppress clutter, or generate a broadened null that simultaneously mitigates low-velocity target signals. Therefore, it is desirable to design a filter that forms a notch broad enough to cover the entire clutter spectrum, with the frequency response rising sharply to a high gain outside the clutter band. Toward this end, in this paper, we develop a generalized multi-channel adaptive filter which, by forming multiple sharp notches over a set of discrete frequencies within the clutter spectrum, achieves effective clutter suppression and target signal preservation. We focus on the fast frequency-domain implementation, and the performance analysis in terms of the frequency response, signal energy loss, and computational complexities is also presented. The effectiveness of the proposed approaches is verified using real-data results.