A1 Refereed original research article in a scientific journal
PARALIND-based blind joint angle and delay estimation for multipath signals with uniform linear array
Authors: Liu X, Guang L, Yang LX, Zhu HB
Publication year: 2012
Journal: EURASIP Journal on Advances in Signal Processing
Journal name in source: EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING
Journal acronym: EURASIP J ADV SIG PR
Article number: ARTN 130
First page : 1
Last page: 13
Number of pages: 13
ISSN: 1687-6180
DOI: https://doi.org/10.1186/1687-6180-2012-130
Abstract
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.
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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