基于方位角和匀速圆周运动的单站无源定位算法

A single observer passive location algorithm based on azimuth measurement and uniform circular motion

针对匀速运动目标,提出一种基于本平台运动路径规划的单站无源定位算法。单站初始运动速度方向根据首次测向结果进行调整,按照设定的不同向心加速度和航向角变化值逐阶段进行匀速圆周运动,直到停止对目标进行定位;在运动过程中,单站截获测量目标方位角,基于测向结果建立状态方程和量测方程,并采用卡尔曼滤波求解定位结果。仿真试验验证了所提定位算法的有效性:随着量测的累积,目标定位误差能够降至目标距离值10%以内。

A single observer passive location algorithm is proposed based on self-motion path planning for uniform moving targets.Firstly,the initial motion velocity and direction of the single observer are adjusted according to the first direction-finding results,and then the observer performs uniform circular motion following the preset centripetal acceleration and course angle values until the location task is terminated.The single observer measures and intercepts the target azimuth during the motion,and the target state and measurement equations are formulated based on the direction-finding results.Kalman filter is used to get the location results.Finally,it is verified that the location algorithm proposed is effective through the simulation test.The results indicate that with the accumulation of measurement,the location error can be reduced to less than 10%of the target range.