基于粒子滤波的混沌同步性能研究

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英文篇名：Research on chaotic synchronization performance based on particle filter 作者：任凤娟 ; 冯四风 英文作者：Ren Fengjuan;Feng Sifeng;City University of ZhengZhou;Shanghai Pu Hua integrity Information Technology Co., Ltd.; 关键词：扩展卡尔曼滤波 ; 无损卡尔曼滤波 ; 粒子滤波 ; 混沌同步 英文关键词：Extended Kalman Filter;;Unscented Kalman Filter;;Particle filter;;Chaotic synchronization 中文刊名：WDZC 英文刊名：Electronic Test 机构：郑州城市职业学院;上海普华诚信信息技术有限公司; 出版日期：2018-11-05 出版单位：电子测试 年：2018 期：No.402 语种：中文; 页：WDZC201821026 页数：3 CN：21 ISSN：11-3927/TN 分类号：65-67

摘要

本文比较了扩展卡尔曼滤波、无损卡尔曼滤波和粒子滤波的混沌同步方法在不同信噪比下的同步均方误差。研究结果表明,在较低的信噪比下,粒子滤波算法可以有效地实现混沌同步,同扩展卡尔曼滤波和无迹卡尔曼滤波的混沌同步方法相比,粒子滤波混沌同步的稳健性更好,同步均方误差更低。
        This paper compares the synchronization mean square error of the chaotic synchronization methods based on extended Kalman filter, lossless Kalman filter and particle filter under different signal-to-noise ratios? The results show that the particle filter algorithm can achieve chaotic synchronization effectively under low SNR. Compared with the extended Kalman filter and unscented Kalman filter, the particle filter has better robustness and lower synchronization mean square error.

引文

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