基于最优线性无偏估计的交互式多模型机动目标跟踪

为了解决雷达目标跟踪的非线性估计问题,提出了一种基于最优线性无偏估计的交互式多模型(IMM)机动目标跟踪算法.该算法采用最优线性无偏估计(BLUE),把目标的状态在笛卡尔坐标来表示,而把雷达测量误差保留在极坐标下,并结合交互式多模型算法,实现对机动目标的有效跟踪.仿真实验验证了该算法的准确性和有效性.

Interacting multiple model for maneuvering target tracking based on best linear unbiased estimation

To solve non-linear estimation problem in target tracking by radar system, an Interacting Multiple Model (IMM) for maneuvering target tracking based on Best Linear Unbiased Estimation (BLUE) was proposed. This algorithm adopted BLUE, expressed state of the target in Cartesian coordinates while keeping the measurement error in the polar coordinates, and combined IMM to track maneuvering target. Simulation tests prove that the proposed algorithm is accurate and valid.