星载测向定位滤波算法研究

Research on Filter Alogrithm of Satellite-based Direction-finding and Location

为了有效改善运动状态中辐射源测向定位精度,并进行实时定位,根据星载正交干涉仪测向和定位技术原理,对星载测向过程中存在的系统指向误差进行了数学建模。引入了扩展卡尔曼滤波技术,通过最优估计值为标称值对测向系统非线性模型的线性化处理,采用状态空间递推方法来进行实时估计,从而对测向随机过程进行实时最小方差估计;建立了地理位置推算的扩展卡尔曼滤波具体实现算法。仿真给出了一组典型的系统误差和位置误差滤波推算结果曲线,表明提出的扩展卡尔曼滤波模型和算法的正确性,达到了可纠正系统误差,改善辐射源地理位置估计值的效果。

For the improvement of precision of location of emitter and implement of real - time location in the dynamic direction -finding （DF） system, the mathmatical model is built for the DF process when system directional errors exist, based on the technique of DF of satellite - based orthogonal interferometer and the techinque of location. Extended Kalman filter （EKF） techinque is introduced, which is implemented with linearization of nonlinear DF system with regard the optimal estimation as nominal and real -time least mean square （LMS） estimation for DF stocho- stic progress in the form of propagation of status space. The details of EKF algorithm of geo - location propagation are induced. Simulation gives a series of propagation curves of system errors and geo - location errors, which shows the validness for correction of system errors and remarkable improvement of location precision.