基于改进ATPM-IMM算法的外辐射源雷达机动目标跟踪

Passive radar maneuvering target tracking based on improved ATPM-IMM algorithm

摘要:

针对外辐射源雷达进行机动目标跟踪时，现有的自适应交互式多模型(AIMM)算法难以达到高精确度跟踪的问题，提出一种基于改进的自适应转移概率交互式多模型(ATPM-IMM)的机动目标跟踪算法。该算法在ATPM-IMM算法的基础上增加了自适应控制窗，对转移概率矩阵进行再次修正，从而可根据目标的机动情况自适应切换机动模型，提高真实模型的匹配概率。仿真和实测数据结果表明，所提算法可有效提高外辐射源雷达进行机动目标跟踪的精确度。

Abstract:

The tracking accuracy of conventional Adaptive Interactive Multiple Model(AIMM) algorithm is poor in the process of maneuvering target tracking by passive radar. In combination with the characteristics of passive radar,the improved Adaptive Transition Probability Matrix-Interactive Multiple Model(ATPM-IMM) algorithm is proposed. Based on the ATPM-IMM algorithm, this algorithm uses the adaptive control window to revise the transition probability matrix again. It can automatically switch the maneuvering model according to the maneuvering situation of the target and improve the matching probability of real model. Simulation and experimental results show that the proposed algorithm can effectively improve the tracking accuracy of passive radar to maneuvering targets.