预警雷达杂波抑制和微弱运动目标检测算法
Early Warning Radar Clutter Suppression and Dim Moving Target Detection Algorithm
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摘要: 针对预警雷达探测弱运动目标的杂波抑制和运算量大的问题,提出利用信号空间分离的抑制杂波算法,利用盲信号处理技术将回波信号分离成雷达弱运动目标信号和强背景杂波信号,有效地抑制了杂波;提出了利用动态规划法探测微弱目标的改进算法,在帧间循环递归中,针对来袭目标确定状态转移区域,并引入各级判决门限,丢弃部分虚警目标轨迹,减少了计算量.仿真结果表明,此方法能降低运算量,抑制杂波,有效地检测微弱运动目标,具有较好的检测性能.Abstract: For the issue of clutter suppression and intensive computation in early detection of dim moving targets,a new algorithm is first proposed for clutter suppression based on signal separation.This method effectively separates weak moving target signal from strong background clutter signal using independent component analysis signal processing technology for clutter suppression.Then an improved dynamic programming method is derived.This method,based on characteristics of incoming targets,proposes multi-level decision thresholds in a dynamic programming algorithm.During the cycles of recursion,it discards the irrelevant false alarm target trajectories.With this method,the algorithm computation can be reduced.Simulation results show that the method can effectively reduce computation,suppress clutter,and implement early detection of dim moving targets in strong clutter background,and it has good detection capabilities.