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| A Robust Frequency Tracking Technology for Chaotic Frequency Modulation |
| Xu Mao-ge; Song Yao-liang |
| School of Electronic Engineering and Optoelectronic Technology, NUST, Nanjing 210094, China |
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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.
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Received: 15 June 2007
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2009, Vol. 31 
