Abstract：Frequency tracking is a complex nonlinear problem, which is more difficult for the chaotic frequency modulation signal in which the traditional Extended Kalman Filter (EKF) can not work well. Thus, a new state space model for the frequency tracking is proposed, and the particle filter which can be used in nonlinear and non-Gaussian environments is introduced. Further more, the feasibility of the particle filter is analyzed, also the Posterior Cramer-Rao Bounds (PCRB) for the frequency tracking of the chaotic frequency modulation signal is derived. The simulation demonstrates the superiorities of particle filtering at last.
徐茂格;宋耀良. 一种稳健的混沌调频信号频率跟踪技术[J]. 电子与信息学报, 2009, 31(1): 104-107 .
Xu Mao-ge; Song Yao-liang. A Robust Frequency Tracking Technology for Chaotic Frequency Modulation. , 2009, 31(1): 104-107 .
2009, Vol. 31 
