一种稳健的混沌调频信号频率跟踪技术

徐茂格; 宋耀良

doi:10.3724/SP.J.1146.2007.00979

一种稳健的混沌调频信号频率跟踪技术

doi: 10.3724/SP.J.1146.2007.00979

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出版历程
- 收稿日期: 2007-06-15
- 修回日期: 2007-10-17
- 刊出日期: 2009-01-19

A Robust Frequency Tracking Technology for Chaotic Frequency Modulation

摘要

摘要: 频率跟踪问题是一个复杂的非线性问题，混沌调频方式的引入更加大了频率跟踪的难度，传统的频率跟踪技术扩展卡尔曼滤波(EKF)已无法跟踪如此复杂的频率变化。为此，该文首先建立了频率跟踪问题的状态空间模型，在此基础上引入了新颖的粒子滤波技术，分析了该技术的可行性，推导了混沌调频信号频率跟踪的后验克拉美-罗(PCRB)下界，实验仿真验证了该技术的优越性。
- 混沌调频;频率跟踪;粒子滤波;扩展卡尔曼滤波
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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