初距自适应估计的降维纯方位目标运动分析

Bearings-only target motion analysis based on decreasing dimension by self-adaption aethod to ascertain initial distance

纯方位目标运动分析(BO-TMA)是一种从探测器所观测到的加噪方位信息和测量载体的机动信息中估算出目标运动要素的方法。针对传统纯方位目标运动分析收敛速度慢,参数估计精度低的问题,本文通过建立以初距为参量的纯方位最小二乘TMA模型,提出一种自适应确定初始距离并求解速度信息的方法,该方法将三维问题转化为二维问题,从而提高收敛速度与估计精度。仿真结果验证了该方法的有效性。

Bearings-only target motion analysis（BO -TMA） is to estimate the position and velocity of a target from bearing measurements with corrupted noise obtained by an observation platform. Since the problem of the tardy convergence rate and low calculation precision,a least square BTMA model taking the initial distance as the parameter has been formatted and an adaptive method to ascertain initial distance is proposed, this method translates three-dimensional problem into two-dimensional problem and,consequently boosts convergence rate and low calculation precision. Computer simulation results verify the effectiveness of the method.