关键词: Singer滤波算法, 机动检测, 过程噪声协方差, 新息衰减平均值

Abstract:

An improved algorithm is presented to deal with the low accuracy of maneuvering detection and slow convergence of traditional singer algorithm.The algorithm is based on the average of innovation memory while adjusting process noise covariance matrix,changing the filter gain and reducing the position RMSE,to increase the speed and acceleration accuracy of the filter.Matlab simulation proves the feasibility of the algorithm.

Key words: Singer filtering algorithm;maneuver detection;process noise covariance;innovation attenuation average