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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Sliding extensive cancellation algorithm for disturbance removal in passive radar
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Sliding extensive cancellation algorithm for disturbance removal in passive radar

机译：用于无源雷达干扰消除的滑动广义消除算法

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摘要

In this paper an advanced version of the extensive cancellation algorithm (ECA) is proposed for robust disturbance cancellation and target detection in passive radar. Firstly some specific limitations of previous ECA versions are identified when dealing with a highly time-varying disturbance scenario in the presence of slowly moving targets. Specifically, the need to rapidly adapt the filter coefficients is shown to yield undesired effects on low Doppler target echoes, along with the expected partial cancellation. Therefore a sliding version of the ECA is presented which operates on partially overlapped signal batches. The proposed modification to the original ECA is shown to appropriately counteract the limitations above by taking advantage of a smooth estimate of the filter coefficients. An efficient implementation is also discussed to limit the corresponding computational load. The benefits of the proposed approach are demonstrated against real data sets accounting for quite different passive radar applications.
机译：本文提出了一种广泛使用的消除算法（ECA）的高级版本，用于无源雷达的鲁棒干扰消除和目标检测。首先，在存在缓慢移动的目标的情况下处理高度时变的干扰情况时，先要确定早期ECA版本的一些特定限制。具体而言，显示出需要快速适应滤波器系数以对低多普勒目标回波产生不期望的影响以及预期的部分消除。因此，提出了ECA的滑动版本，可对部分重叠的信号批次进行操作。通过对滤波系数的平滑估计，显示出对原始ECA的建议修改可适当抵消上述限制。还讨论了一种有效的实现方式来限制相应的计算负荷。相对于考虑了完全不同的无源雷达应用的真实数据集，证明了该方法的优势。

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