极坐标系下可处理多普勒量测的BLUE跟踪算法

The BLUE Tracking Algorithm with the Doppler Measurements in the Polar Coordinates

事实已表明包含目标速度信息的多普勒量测具有有效提高目标状态估计精度的潜力.该文在直角坐标系下提出两种可使用转换多普勒量测(即距离量测与多普勒量测的乘积)的滤波器,一种借助了构造的多普勒伪状态,另一种没有借助多普勒伪状态.从理论上讲,它们都是在最佳线性无偏估计准则下的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.通过将近似处理后的两种新型最优线性滤波器与目前几种流行的方法进行仿真比较,验证了所提出的滤波器的优越性.

In fact,the Doppler measurement containing information of target velocity has the potential capability of improving the tracking performance.Two filters are proposed which can use converted Doppler measurements （i.e.the product of the range measurements and Doppler measurements ）in the Cartesian coordinates.One filter uses the Doppler pseudo-states;another doesn’t use the Doppler pseudo-states.These novel filters are theoretically optimal in the rule of the best linear unbiased estimation in the Cartesian coordinates,and they are free from the fundamental limitations of the meas-urement-conversion approach.Based on simulation experiments,the approximate,recursive implementations of these two no-vel filters are compared with those obtained by five state-of-the-art conversion techniques recently.Simulation results demon-strate the effectiveness of the proposed two filters.