电子学报2018，Vol.46Issue(1)：167-174,8.DOI:10.3969/j.issn.0372-2112.2018.01.023
基于ε等级约束差分进化的多径估计算法
Multipath Estimation Algorithm Using Constrained Rank-Based Differential Evolution
摘要
Abstract
The observation equation has to be linearized for the multipath estimation algorithm based on Extended Kalman Filter (EKF).To tackle the problem of being sensitive to initial state,which leads to a performance degradation in terms of estimation accuracy,a new multipath estimation algorithm based on intelligent optimization is proposed.Through minimizing the second moment of the estimation error the multipath estimation problem is transferred into an optimization problem with constrained conditions.Furthermore,the instantaneous error is considered as a constrained condition as well as the prior information of the multipath parameters.Then,an intelligent optimization algorithm is used to solve the presented optimization problem.Especially,the ε Constrained Rank-based Differential Evolution(eCRDE) algorithm is adopted.In addition,the εCRDE algorithm is improved to cater for the need of iteration for multipath estimation.Simulation results show that the proposed algorithm outperforms EKF for multipath estimation in the case of single multipath and two multipaths.关键词
多径估计/优化算法/差分进化(DE)/Kalman滤波Key words
multipath estimation/optimization algorithm/differential evolution (DE)/Kalman filter分类
天文与地球科学引用本文复制引用
程兰,邢艳君,任密蜂,谢刚,陈杰..基于ε等级约束差分进化的多径估计算法[J].电子学报,2018,46(1):167-174,8.基金项目
国家自然科学基金(No.61603267,No.61503271) （No.61603267,No.61503271）
山西省自然科学基金(No.20140210022-7) （No.20140210022-7）
