Weighted Subspace Fitting DOA Estimation Based on Shuffled Frog Leaping Algorithm

被引：0
|
作者：
Zhang, Zhicheng [1 ]
Yu, Xiaohui [1 ]
Sun, Haixin [2 ]
机构：
[1] Jilin Univ, Coll Commun Engn, Changchun 130023, Peoples R China
[2] Changchun Univ, Sch Elect & Informat Engn, Changchun, Peoples R China
来源：
INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY II, PTS 1-4 | 2013年 / 411-414卷
关键词：
direction of arrival; subspace fitting; shuffled frog leaping; meta-heuristic; OPTIMIZATION;
D O I：
10.4028/www.scientific.net/AMM.411-414.1049
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
In this paper, shuffled frog leaping algorithm (SFLA) is used to reduce the computation load of weighted subspace fitting (WSF) method for DOA estimation. As a recently proposed meta-heuristic algorithm, SFLA is suitable to solve the nonlinear multimodal optimization problem which WSF method encounters, so it offers an excellent alternative to the conventional methods in WSF-DOA estimation. Thus, the feasibility of SFLA applying to WSF-DOA estimation is analyzed, and its performance is compared with other popular meta-heuristic methods. Simulation results demonstrate that the proposed method is more efficient in computation and statistical performance.
引用
收藏
页码：1049 / +
页数：2
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