提出用于单站只测角系统的修正最佳线性无偏估计(BLUE)滤波器。针对BLUE 滤波器用于雷达目标跟踪时需要完备的非线性观测集合来构建转换量测及单站只测角系统只提供方位观测,无法直接应用普通BLUE滤波器跟踪目标的问题,构造了基于目标状态预测的预测斜距,并在分析预测斜距误差统计特性后,用斜距预测和方位观测组成转换量测,推导出可应用于单站只测角系统的BLUE滤波模型。所提改进算法在性能和运算量上有明显优势,有很好的应用潜力。

In this paper, a modified best linear unbiased estimation (BLUE) filter is proposed for single-observer bearing-only system. Though widely used in radar target tracking, conventional BLUE filter requires the full set of nonlinear measurements to construct converted measurements in Cartesian coordinate. Single-observer bearing-only system only provides bearing measurement, so it can't use BLUE filter directly. To solve this problem, the target state prediction is used to construct the predicted range. After deriving the error statistics of the predicted range, the predicted range and bearing measurement are combined to form the converted measurements, then relevant filter model for single-observer bearing-only system is derived. Simulation results verify the proposed BLUE filter is superior to other algorithms in performance and computational complexity, which makes it potentially competitive.

TN953+.5

国家自然科学基金资助项目;安徽省自然科学基金资助项目