电讯技术2017，Vol.57Issue(4)：377-381,5.DOI:10.3969/j.issn.1001-893x.2017.04.001
基于压缩感知的分布式协同估计算法
A Distributed Collaborative Estimation AlgorithmBased on Compressed Sensing
摘要
Abstract
In order to reduce the amount of calculation and improve the convergence performance,a distributed collaborative estimation algorithm based on compressed sensing and recursive least square(RLS) is proposed.Based on the traditional RLS distributed collaborative estimation algorithm,this algorithm introduces compressed sensing technology.Firstly,the recursive least square method is applied in the compressed domain.And then the estimation of the unknown parameter vector is achieved by compressed sensing reconstruction algorithm.The proposed algorithm can effectively estimate the unknown vector under the incremental strategy and two modes of diffusion strategy.The result of theoretical analysis and simulation shows that the proposed algorithm reduces the amount of calculation of RLS distributed collaborative estimation algorithm and also keeps fast convergence speed and good mean square error performance.关键词
分布式估计/压缩感知/递归最小二乘/增量式策略/扩散式策略Key words
distributed estimation/compressed sensing/recursive least square/incremental strategy/diffusion strategy分类
信息技术与安全科学引用本文复制引用
张亚东,姚彦鑫..基于压缩感知的分布式协同估计算法[J].电讯技术,2017,57(4):377-381,5.基金项目
国家自然科学基金资助项目(61302073) （61302073）
北京市自然科学基金面上项目(4172021) （4172021）
北京市教委面上项目 (KM201711232010) （KM201711232010）
北京市自然科学基金资助项目(Z160002) （Z160002）
