一种主／被动雷达协同探测跟踪算法

为了提升地面防空武器系统对干扰目标的探测跟踪能力,结合装备武器系统主/被动雷达的技术特点,以及其良好的优势互补性,研究设计了一种主/被动雷达协同探测跟踪模式,并基于交互式多模型算法和不敏滤波算法在处理强机动目标和非线性问题上的优势,以及系统实时性要求的考虑,提出了一种改进的自适应交互式多模型不敏滤波算法.通过Monte Carlo仿真,与主/被动雷达单独跟踪效果相比较,其性能得到了较大改善,也进一步验证了主/被动雷达协同探测跟踪模式及改进算法的有效性和优越性.

Research on Active and Passive Radar Synergistic Detection and Tracking Algorithm

To advance the system campaign efficiency for air defense weapon system located on the ground, based on the technique characteristic and the good mutual complementation for active and passive radar in new weapon system, a synergistic work model for active and passive radar is put forward. Moreover, based on the superiority of interactive multi-model (IMM) algorithm and unscented kalman filter (UKF) in dealing with the strong maneuvering target and the nonlinear filter problem, and considering the real-time requirement for tracking system, a self-adaptive IMM-UKF algorithm is put forward and designed. Through the Monte Carlo simulation, performance of it has been improved compared to that of work alone model, and the results demonstrate that the synergistic work model and the updated algorithm are effective and superior.