基于改进动态规划的雷达弱小目标检测与跟踪

摘要

Aiming at the problem of detection and tracking of radar weak targets under complex environments,an improved track-before-detect algorithm is introduced based on dynamic programming.This method adopts multi-stage hypothesis testing instead of two-step detection thresholds,and the performances of tracking technique are adopted to estimate the possible target state.According to the euclidean distance between state estimation and measurement,a penalty is used to improve the merit function.Simulation results show that the improved algorithm can effectively eliminate the fake trajectory,reduce the calculation,and enhance the probability of detecting radar weak target.%针对复杂背景下雷达弱小目标的检测和跟踪问题,提出了一种改进动态规划的检测前跟踪算法.该方法用多级检验判决方法代替常用的两级门限检测,并用传统跟踪技术进行目标位置状态估计,根据估计值与状态值的欧氏距离设计一个惩罚项来改进值函数.通过仿真验证,结果表明该方法能有效消除伪航迹,减小计算量,提高对雷达弱小目标的检测和跟踪性能.