基于极坐标多普勒伪状态的最佳线性无偏估计算法

理论和实践已经证明,除位置量测外,包含目标速度信息的多普勒量测具有有效提高目标状态的估计精度的潜力。基于目标匀速运动场景在直角坐标系下提出了一种可使用多普勒伪量测(即距离量测与多普勒量测的乘积)和多普勒伪状态的跟踪算法。从理论上讲,它是在最佳线性无偏估计准则下的近似最优线性无偏滤波器,并且避免了量测转换方法的根本缺陷。通过与目前几种流行的方法进行仿真比较,验证了新算法的优越性和可靠性。

A Best Linear Unbiased Estimation Algorithm with Polar Doppler Pseudo-measurements

In tracking applications,in fact,in addition to position measurements,the Doppler measurement or range rate,containing information about target velocity,have the potential capability to improve the tracking performance.A tracking algorithm is proposed here that can use the product of the range measurements and Doppler measurements in the Cartesian coordinates.The novel filter is theoretically almost optimal in the rule of the best linear unbiased estimation among all linear unbiased filters in the Cartesian coordinates,is free of the fundamental limitations of the measurement-conversion approach.Based on simulation experiments,the novel tracking algorithm is compared with those obtained by several state-of-the-art conversion techniques recently.Simulation results demonstrate the effectiveness of the proposed algorithm.