PARALIND-based blind joint angle and delay estimation for multipath signals with uniform linear array

被引：0
|
作者：
Xu Liu
Liang Guang
Longxiang Yang
Hongbo Zhu
机构：
[1] Nanjing University of Posts & Telecommunications,Jiangsu Key Laboratory of Wireless Communication, College of Telecommunications and Information Engineering
[2] University of Turku,Department of Information Technology
来源：
EURASIP Journal on Advances in Signal Processing | / 2012卷
关键词：
Parameter estimation; Tensor decomposition; Multi-way analysis; PARALIND model;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A novel joint angle and delay estimation (JADE) algorithm for multipath signals, based on the PARAllel profiles with LINear Dependencies (PARALIND) model, is proposed. Capitalizing on the structure property of Vandermonde matrices, PARALIND model is proved to be unique. Angle and delay of multiple rays of sources can be estimated by PARALIND decomposition and an ESPRIT-like shift-invariance technique. Simulation results show that the proposed algorithm outperforms the traditional JADE algorithm. It can automatically distinguish the estimated parameters between sources, and still be available when the number of rays is larger than the number of receiving antennae.
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