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.
作者
任凤娟
冯四风
Ren Fengjuan;Feng Sifeng(City University of ZhengZhou,Zhengzhou Henan,452370;Shanghai Pu Hua integrity Information Technology Co.,Ltd.,Shanghai,454003)
出处
《电子测试》
2018年第21期63-65,共3页
Electronic Test
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
Extended Kalman Filter
Unscented Kalman Filter
Particle filter
Chaotic synchronization
