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 full 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