Novel antenna selection algorithm based on Tanimoto similarity

被引：0

作者：

Yang Haifen ^{[1
]}

Li Guangjun ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Dept Commun & Informat Engn, Chengdu 610054, Peoples R China

来源：

JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS | 2008年 / 19卷 / 03期

关键词：

MIMO system; antenna selection; Tanimoto similarity; outage capacity;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new antenna selection algorithm for multiple input multiple output (MIMO) wireless systems is proposed. The modified Tanimoto coefficient is used to compare the similarity of the rows/columns of the channel matrix. Based on the calculated similarity, the proposed algorithm chooses the antenna subset, which has the maximum product of dissimilarity and Frobenius norm. The proposed algorithm requires low computational complexity as to the optimal selection but with comparative outage capacity and average signal to noise ratio (SNR) performance. It can improve both the outage capacity and the average SNR as compared to random selection. The simulation results are shown to validate our algorithm.

引用

页码：624 / 627

页数：4