A HANKEL MATRIX DECOMPOSITION METHOD BASED ON THE STATE SPACE MODEL FOR MULTI-CHIRP PARAMETER ESTIMATION
This paper proposes a new method to combine the state space model with cross higher order cumulant, and then apply it to multi-chirp parameter estimation. Firstly, through a quadratic form transform the nonstationary chirp signals are converted into stationary state. Then the fully advantages of state space model and cross higher order cumulant are used to do the following processing. This method presents a new way to multi-chirp parameter estimation problem and deduces a high precision algorithm of short date system. Computer simulations have showed that the algorithm in this paper is very excellent in identification, stability and noise suppression.
Chirp signal estimation state space model higher order cumulant quadratic form transform
XIAO-HUI YU YAO-WU SHI XIAO-TAO KANG
College of Communication Engineering, Jilin University, Changchun 130025, China
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
1433-1437
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）