The Micro-Doppler effect is a special manifestation of the signatures and motion states of the target. It plays an important role in the target classification and recognition. However, the micro-Doppler effects of many objects in the environment, such as wind turbines, tower cranes, and air conditionings, etc., act as time-varying clutter to radar systems, causing false alarms and missed detections. In this paper, we investigate the recognition and mitigation problems of the micro-Doppler clutter (MDC) in radar systems. Firstly, the recognition model of the MDC is obtained using the support vector machine (SVM). Through this recognition model, we are able to know the distribution of the MDC in range-Doppler (RD) maps. Then, a spatial subspace projection algorithm is used to mitigate the MDC along the Doppler dimension in the RD map. The proposed algorithm is verified by both simulated and measured data.

中文翻译：

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通过支持向量机识别和减轻雷达系统中的微多普勒杂波

微多普勒效应是目标特征和运动状态的一种特殊表现形式。它在目标分类和识别中起着重要作用。然而，环境中许多物体的微多普勒效应，如风力涡轮机、塔式起重机和空调等，会对雷达系统造成时变杂波，导致误报和漏检。在本文中，我们研究了雷达系统中微多普勒杂波 (MDC) 的识别和缓解问题。首先，使用支持向量机（SVM）得到MDC的识别模型。通过这个识别模型，我们能够知道距离-多普勒（RD）图中的 MDC 分布。然后，使用空间子空间投影算法沿 RD 图中的多普勒维度减轻 MDC。