LCMV-Based Reduced-Rank Beamforming Algorithm With Enhanced Tracking Capability

被引：5

作者：

Zilli, Guilherme Martignago ^{[1
]}

Pitz, Ciro Andre ^{[1
]}

Ortiz Batista, Eduardo Luiz ^{[1
]}

Seara, Rui ^{[1
]}

机构：

[1] Univ Fed Santa Catarina, Dept Elect Engn, LINSE Circuits & Signal Proc Lab, BR-88040900 Florianopolis, SC, Brazil

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2016年 / 5卷 / 03期

关键词：

Adaptive arrays; gradient method; mobile communication; reduced rank; spatial filters; POWER-CONTROL; SYSTEMS; NETWORKS; MIMO;

D O I：

10.1109/LWC.2016.2555312

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This letter presents a novel reduced-rank beamforming algorithm based on the linearly constrained minimum-variance (LCMV) criterion. Such an algorithm is derived aiming to overcome the main drawback of another reduced-rank beam-forming algorithm from the literature, whose performance limitation is in practical scenarios where the angle of arrival of the signal of interest (SOI) changes over time. To meet this aim, the proposed algorithm seeks to maintain a unity gain in the direction of the SOI, leading to enhanced tracking capability and superior performance. Simulation results are shown confirming the effectiveness of the proposed algorithm.

引用

页码：328 / 331

页数：4

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