量测点迹空间聚类的多传感器多帧检测算法

针对强干扰环境下微弱目标检测算法运算复杂度高、虚假目标数量多等问题, 利用目标量测点迹在多传感器之间的分布特性及目标能量的可累加性, 提出一种量测点迹聚类的多帧检测算法。该算法首先利用同源检测对多传感的器量测点迹的有效性进行判断，实现杂波/噪声剔除；其次在空间和时间两个维度对目标的能量进行积累实现微弱目标检测。仿真结果和性能分析表明, 该算法能够大幅降低运算复杂度, 提高虚假目标的抑制能力, 并能够提升微弱目标的检测概率, 验证了该算法的有效性和工程的可行性。

Multi-sensor multi-frame detection algorithm based on measurement plots space clustering

In order to reduce the high computational complexity and the number of false targets in strong interference environment, using the distribution characteristics of target measurement plots among multiple sensors and accumulation of target energy, a multi-frame detection algorithm based on measurement plots space clustering is proposed. In the proposed algorithm, homology detection is used to judge the validity of measurement plots from multiple sensors to eliminate clutter/noise firstly. And then, the target energy is accumulated in space and time to detect weak target. The simulation result and performance analysis show that the proposed algorithm can greatly reduce the computational complexity and enhance the ability of false target suppression, and also can improve the detection probability of weak target, so effectiveness and engineering feasibility of the proposed algorithm are verified.