基于修正无偏转换测量的交互式多模型算法

雷达系统中的目标跟踪技术不仅需要从噪声中将能够直接测量得到的信号提取出来,估计出不能直接测量的诸如目标加速度等信息;而且还要处理从球坐标系到笛卡尔直角坐标系下量测的非线性转换。针对此问题,本文提出了集交互式多模型和修正的无偏转换测量两者优点的IMM-MUCMKF跟踪算法。理论分析和仿真结果表明,本算法的跟踪性能要优于集交互式多模型和不敏卡尔曼的IMM-UKF算法。

Interactive Multiple Model Algorithm Based on Modified Unbiased Converted Measurements

The target tracking technique of the radar system is not only required to abstract the obtained signal from the directly measured data in noise, estimate the information such as target acceleration which cannot be measured directly, but also process the nonlinear conversion of the measurements between the spherical to Cartesian coordi- nate system. Aiming at this problem, IMM-MUCMKF tracking algorithm which combines the advantages of interactive multiple -model （IMM） and of the modified unbiased converted measurements （MUCM） is proposed. Theory analysis and the simulated results show that the tracking performance of this algorithm is superior to the IMM-UKF algorithm which combines the IMM and unscented Kalman filter.