基于角度信息测量的无源跟踪算法研究

针对只测向单站无源定位中推广卡尔曼滤波(EKF)算法受初值、测量噪声影响大以及算法具有不稳定性等缺点,提出了增加方位角和俯仰角角速度观测信息,运用修正协方差的扩展卡尔曼滤波(MVEKF)算法对机动目标进行无源定位的新方法.该方法能够进一步提高系统的定位与跟踪精确度、可靠性和防御作战能力,滤波性能更好.通过计算机仿真,验证了该方法的正确性与有效性.

Research of Passive Tracking Arithmetic Based on Spatial Information Measurement

According to the erratic filter behavior of traditional extended Kalman filter(EKF) of bearing only algorithm in passive emitter location,in this paper,we introduced a new tracking algorithm of moving emitter,which added angle velocity measurement information on the basis of bearing measurement.And a new filtering method called Modified covariance EKF(MVEKF) is put forward in this algorithm.This method improves the location and tracking accuracy,reliability and defensive operational capability of the system and solves the problem of passive location better.With the help of computer simulation,the method is proven to be correct and effective.