基于多帧积累的海面弱小慢速目标检测算法

Weak and Slow Targets Detection Algorithm for Sea Surface Based on Multiple-Frame Accumulation

在复杂的海杂波环境中,海面弱小慢速目标检测技术一直是雷达领域中的一项重点。由于以往采用的单帧数据检测海面弱小慢速目标容易产生较高的虚警率,所以本文联合多帧雷达回波数据,在基于十字窗改进的多帧积累算法上进行算法改进,减少了一个处理块来抑制海杂波从而检测海面弱小慢速目标,降低了算法的运算复杂度,增加了算法的可靠性与有效性,最后通过对实测海杂波数据进行算法仿真验证,表明了该算法的可行性和有效性。

In complicated sea clutter environment, it is a key and difficult problem for radar to detect weak and slow targets on the sea surface. Considering that the detection of the weak and slow targets based on single-frame data may suft-r from high false alamls in the sea clutter, combining multi-frame ra- dar echo data, an improved algorithm is presented based on the cross-window algorithm with multiple- frame accumulation. On the basis of the reduction of a processing block, the algorithm complexity is re- duced and the reliability and validity are increased. Finally, the experiments on real sea clutter data dem- onstrate the feasibility and validity of the proposed algorithm.