卡尔曼滤波在被动目标跟踪系统中的应用

针对卡尔曼滤波方法在双观测站被动目标跟踪系统中的应用进行了研究。建立了双观测站被动跟踪系统的非线性滤波模型,通过扩展卡尔曼滤波方法在该非线性模型下的具体实现步骤。分析了目标通过不同角度向观测站袭来时,卡尔曼滤波算法对目标参数估计的精度,验证了扩展卡尔曼滤波方法在被动目标跟踪中的有效性。仿真结果表明,目标参数估计的精度与观测的目标方位角变化率有关,变化率越大,估计误差越小。

Application of Kalman Filter in Passive Target Tracking

The applications of Kalman filter in bistatic passive target tracking systems are discussed.The nonlinear model of bistatic passive tracking systems are discussed first,and then the procedures for extended Kalman filter which applied to such model are analyzed.The accuracy of estimation of different angle between the targets and passive systems are investigated by computer simulations.Simulation results illustrate that the extended kalman filter can achieve accurate parameter estimation.Moreover,the faster the angle between the target and the passive systems changes the smaller error is to be expected.