无线传感器网络的鲁棒分布式估计算法  

Robust Distributed Estimation Algorithm for Wireless Sensor Networks

作　　者：火元莲[1] 刘宝伟 岳文斌 齐永锋 裴东[1,3] HUO Yuanlian;LIU Baowei;YUE Wenbin;QI Yongfeng;PEI Dong(College of Physics and Electronic Engineering,Northwest Normal University,Lanzhou,Gansu 730070,China;College of Computer Science and Engineering,Northwest Normal University,Lanzhou,Gansu 730070,China;Gansu Intelligent Information Technology and Application Engineering Research Center,Lanzhou,Gansu 730070,China)

机构地区：[1]西北师范大学物理与电子工程学院,甘肃兰州730070 [2]西北师范大学计算机科学与工程学院,甘肃兰州730070 [3]甘肃省智能信息技术与应用工程研究中心,甘肃兰州730070

出　　处：《北京理工大学学报》2024年第9期980-989,共10页Transactions of Beijing Institute of Technology

基　　金：国家自然科学基金资助项目(61561044)。

摘　　要：为了提高无线传感器网络在非高斯噪声环境下的分布式估计性能,提出了一种基于半二次准则的变尺度扩散式自适应滤算法,该算法采用了一种凸代价函数的半二次准则(half-quadratic criterion,HQC),使算法可以更加有效地寻找最优解、具有更快的收敛速度和更高的滤波精度,并且对脉冲噪声具有更强的鲁棒性.另外,通过引入变尺度因子来平衡和进一步提高算法的收敛速度与稳态误差性能.文中对算法的性能进行了理论分析和仿真对比,结果表明在不同的非高斯噪声环境下,所提算法对未知系统具有更高的辨识效率,其收敛性能和稳态误差性能都优于其他的扩散式自适应滤波算法.In order to improve the distributed estimation performance of wireless sensor networks in non-Gaussian noise environment,a variable-scale diffusion adaptive filtering algorithm was proposed based on half-quadratic criterion in this paper,adopting a convex cost function half-quadratic criterion(HQC),The algorithm was designed to find an optimal solution more effectively,to get faster convergence speed and higher filtering accuracy,and possess stronger robustness to pulse noise.In addition,the variable scale factor was introduced to balance and further improve the convergence speed and steady-state error performance of the algorithm.Finally,the performance of the proposed algorithm was analyzed theoretically and compared in simulation.The results show that the proposed algorithm can provide higher identification efficiency for unknown systems under different non-Gaussian noise environments,and its convergence performance and steady-state error performance are better than other diffused adaptive filtering algorithms.

关 键 词：分布式自适应滤波 半二次准则 变尺度因子 

分 类 号：TN713[电子电信—电路与系统]