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Volume 31 Issue 1
Dec.  2010
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Xu Mao-ge, Song Yao-liang. A Robust Frequency Tracking Technology for Chaotic Frequency Modulation[J]. Journal of Electronics & Information Technology, 2009, 31(1): 104-107. doi: 10.3724/SP.J.1146.2007.00979
Citation: Xu Mao-ge, Song Yao-liang. A Robust Frequency Tracking Technology for Chaotic Frequency Modulation[J]. Journal of Electronics & Information Technology, 2009, 31(1): 104-107. doi: 10.3724/SP.J.1146.2007.00979

A Robust Frequency Tracking Technology for Chaotic Frequency Modulation

doi: 10.3724/SP.J.1146.2007.00979
  • Received Date: 2007-06-15
  • Rev Recd Date: 2007-10-17
  • Publish Date: 2009-01-19
  • 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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