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一种稳健的混沌调频信号频率跟踪技术 被引量：2

A Robust Frequency Tracking Technology for Chaotic Frequency Modulation
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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。 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.
作者 徐茂格 宋耀良
机构地区 南京理工大学电子工程与光电技术学院
出处 《电子与信息学报》 EI CSCD 北大核心 2009年第1期104-107,共4页 Journal of Electronics & Information Technology
关键词 混沌调频 频率跟踪 粒子滤波 扩展卡尔曼滤波 Chaotic frequency modulation Frequency tracking Particle filtering Extended Kalman Filter （EKF）
分类号 TN911.7 [电子电信—通信与信息系统]
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参考文献12

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共引文献4

同被引文献13

  • 1胡士强,敬忠良.粒子滤波算法综述[J].控制与决策,2005,20(4):361-365. 被引量：293
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  • 4Liu Xiangqian, Nicholas D. Sidiropoulos, Ananthram Swami. Joint Hop Timing and Frequency Estimation for Collision Reso- lution in FH Networks[ J ]. IEEE Transactions on Wireless Communications, 2005, 4 (6) : 3063-3074.
  • 5LV De-chao, FAN Jiang-tao, HAN Gang-weng. Particle Filter[ J]. IEEE Transactions on Signal Processing, 2005, 53 (7) : 2279 -2289.
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  • 8XU Maoge,SONG Yaoliang,LIU Liwei.Adaptive Joint Synchronization and Decryption Chaotic Secure Communication Receivers[J].Chinese Journal of Electronics,2008,17(1):161-164. 被引量：1
  • 9张曦,王星,杜兴民.基于小波变换的跳频信号参数盲估计[J].电路与系统学报,2009,14(4):60-65. 被引量：19
  • 10范海宁,郭英.一种新的跳频信号参数盲估计算法[J].信号处理,2009,25(11):1754-1758. 被引量：13

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电子与信息学报
2009年 第1期

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