Simplified Autocovariance Least-Squares Method for Constant Acceleration Model
Lin Xu Luo Zhicai Yao Chaolong · Acta Geodaetica et Cartographica Sinica · 2014
The constant acceleration model is used to model the maneuvering targets,the process noise covariance matrix satisfies a special structure.Therefore,a simplified autocovariance least-squares method is proposed to estimate noise covariances.And this method establishes a relationship between the autocovariance of the innovation and the unknown covariances,thus,the noise covariance can be estimated by the least-squares method.The simulation results show the accuracy of the proposed method is better than the adaptivecurrentstatistical model algorithm and the adaptive constant acceleration model algorithm,when the maneuvering targets with unit-step acceleration or variable acceleration.