A Novel Adaptive Filter Based on Kalman Filtering Algorithm and Its Implementation
In order to improve the performance of adaptive filter, by researching the kalman filtering algorithm, presents a novel adaptive filtering algorithm.In this paper, the proposed algorithm describes dynamic change of the filter weight using the state space.In addition, the filter output consists of measurement equation, and then, based on the above mentioned theory, the filter weights update are realized depending on Kalman filtering recursive algorithm.In order to analyze the performance of the proposed algorithm, this paper implements this algorithm using simulink simulation tool at the physical layer.Furthermore, the simulation platform for performance analysis of the proposed filter is established.Simulation results show that the proposed algorithm has better convergence and tracking performance, also confirm that its performance is better than that of conventional algorithms.
kalman filter state space adaptive algorithm simulink implementation
Liu Jianfeng Jiang Zhuoqin Huo Xiaoxin Li Juan
Department of Postgraduate Management P.L.A.Xian Communication Institute,Xian,710106,China Faculty of Electronic Technology P.L.A.Xian Communication Institute,Xian,710106,China
国际会议
北京
英文
2008-11-01（万方平台首次上网日期，不代表论文的发表时间）