基于观测站机动的机载单站无源定位跟踪研究

Research on Airborne SOPLAT Based on Maneuvering Observer

运动单站对运动辐射源在利用相位差变化率进行跟踪时,需要满足更严格的可观测性要求,只有当观测站载机比目标具有至少高一次的已知机动运动才可能实现可观测性。针对目标匀速直线运动的情况,提出观测器加减速直线和匀速圆周两种机动运动方式,并通过非线性滤波算法对目标定位跟踪。给出了两种观测器机动情况下EKF和UKF的滤波结果,计算机仿真表明,两种情况都可以对目标进行定位跟踪,且与EKF算法相比较,UKF算法实现简单,在运算量不增加的同时有更好的定位与跟踪性能。

In order to locate and track the moving target by moving observer based on the phase of change,there need stricter observability demand.The moving target can be located and tracked when the observer is more maneuverable than the target.Accelerating velocity linear motion and uniform circular motion of the observer are proposed for the target＇s CV motion.The non-linear filtering results,EKF and UKF,are given in the two situations.Simulation results show that the CV target can be located and tracked in the two situations,and the UKF algorithm has higher precision and faster convergence without additional computing expenses.