Multipath channel identification by using global optimization in ambiguity function domain

Date
2011-06-15
Advisor
Instructor
Source Title
Signal Processing
Print ISSN
0165-1684
Electronic ISSN
Publisher
ELSEVIER
Volume
91
Issue
11
Pages
2647 - 2660
Language
English
Type
Article
Journal Title
Journal ISSN
Volume Title
Abstract

A new transform domain array signal processing technique is proposed for identification of multipath communication channels. The received array element outputs are transformed to delayDoppler domain by using the cross-ambiguity function (CAF) for efficient exploitation of the delayDoppler diversity of the multipath components. Clusters of multipath components can be identified by using a simple amplitude thresholding in the delayDoppler domain. Particle swarm optimization (PSO) can be used to identify parameters of the multipath components in each cluster. The performance of the proposed PSO-CAF technique is compared with the space alternating generalized expectation maximization (SAGE) technique and with a recently proposed PSO based technique at various SNR levels. Simulation results clearly quantify the superior performance of the PSO-CAF technique over the alternative techniques at all practically significant SNR levels.

Course
Other identifiers
Book Title
Keywords
Channel identification, Cross ambiguity function (CAF), Maximum likelihood (ML), Particle swarm optimization (PSO)
Citation
Published Version (Please cite this version)