外辐射源雷达滑窗扩展相消算法并行实现

Parallel Implementation of Sliding Extensive Cancellation Algorithm for Passive Radar System

杂波抑制是外辐射源雷达信号处理中的关键技术之一。ECA-S算法突破了ECA-B算法在实际数据处理中对分段数的限制,通过给每段分段信号增添滑窗,在增加分段数的同时保证了足够的积累时间,具有更好的滤波效果,但这一改进效果是以增大空间和时间复杂度为代价而得到。结合图形处理器(GPU)数据吞吐量大、并行处理简单、适宜解决计算密集型问题的特点,提出一种适用于GPU处理的ECAS时域杂波抑制并行实现方法。实测数据验证了该算法的有效性,并满足实时处理的需求。

Cancellation of clutter is one of the key signal processing techniques in passive radar. Sliding extensive cancellation algorithm （ECA-S） has broken through the limitations of extensive cancellation algo- rithm batches （ECA-B） in the number of batches during real data processing. By adding a sliding window to each segmented signal, a sufficient integrated time is ensured while the number of batches is increased, and a batter filtering effect is obtained. However, this improvement is achieved at the cost of increasing the space and time complexity. Considering the advantages of graphic processing unit （GPU） in high memory through- put, parallel processing, and eomputationally intensive problem, this paper proposes a parallel realization of ECA-S algorithm based on GPUs. The experimental results verify the effectiveness of the proposed algo- rithm. It also meets the demands of real-time processing.