自适应迭代平方根UKF的单站无源定位算法  

Adaptive iterated SRUKF for single observer passive location

作　　者：刘学[1,2] 焦淑红[1] 

机构地区：[1]哈尔滨工程大学信息与通信工程学院 [2]中国人民解放军91245部队

出　　处：《哈尔滨工程大学学报》2011年第3期372-377,共6页Journal of Harbin Engineering University

基　　金：国家973安全重大基础研究基金资助项目(61393010101-1);黑龙江省教育厅科学技术研究基金资助项目(11544025)

摘　　要：针对单站无源定位可观测性弱、收敛速度慢、定位精度差等问题,在结合相位差变化率和多普勒频率变化率定位方法的基础上,提出了一种基于自适应迭代SRUKF的单站无源定位算法,通过使用误差协方差阵的平方根替代协方差阵参与滤波,保证了滤波算法的数值稳定性.在迭代判决准则的约束下,通过对状态及其误差协方差矩阵平方根的自适应迭代估计调整滤波的观测值与状态值之间的权比,使滤波预测值误差协方差阵的平方根更为准确、合理,从而提高算法的稳定性、收敛速度和定位精度.仿真结果验证了新算法的有效性.In order to enhance the observability,increase the convergence speed,and improve the locating accuracy in single passive observer location,a model was adopted which was based on the Doppler frequency changing rate as well as the Phase changing rate.A novel adaptive iterated square root unscented Kalman filter（SRUKF） was presented along with the model.It used the square root of the error covariance instead of the error covariance involved in filtering to ensure numerical stability.The filter also used adaptive iterating estimation restricted by the iterative sentencing guideline to adjust the proportion of the observation and dynamic model for the purpose of making the estimated square root of the error covariance more accurate and reasonable.Therefore,the performance of the filter was improved.Finally,simulations show the availability of this method in different conditions.

关 键 词：单站无源定位 SRUKF 自适应因子 迭代 

分 类 号：TN957[电子电信—信号与信息处理]