DOA Estimation for Local Scattered CDMA Signals by Particle Swarm Optimization

This paper deals with the direction-of-arrival (DOA) estimation of local scattered code-division multiple access (CDMA) signals based on a particle swarm optimization (PSO) search. For conventional spectral searching estimators with local scattering, the searching complexity and estimating accuracy...

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Main Author: Jhih-Chung Chang
Format: Article
Language:English
Published: MDPI AG 2012-03-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/12/3/3228/
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author Jhih-Chung Chang
author_facet Jhih-Chung Chang
author_sort Jhih-Chung Chang
collection DOAJ
description This paper deals with the direction-of-arrival (DOA) estimation of local scattered code-division multiple access (CDMA) signals based on a particle swarm optimization (PSO) search. For conventional spectral searching estimators with local scattering, the searching complexity and estimating accuracy strictly depend on the number of search grids used during the search. In order to obtain high-resolution and accurate DOA estimation, a smaller grid size is needed. This is time consuming and it is unclear how to determine the required number of search grids. In this paper, a modified PSO is presented to reduce the required search grids for the conventional spectral searching estimator with the effects of local scattering. Finally, several computer simulations are provided for illustration and comparison.
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spelling doaj.art-c9dad23d58634bbdac295a32bdeb9f152022-12-22T04:03:58ZengMDPI AGSensors1424-82202012-03-011233228324210.3390/s120303228DOA Estimation for Local Scattered CDMA Signals by Particle Swarm OptimizationJhih-Chung ChangThis paper deals with the direction-of-arrival (DOA) estimation of local scattered code-division multiple access (CDMA) signals based on a particle swarm optimization (PSO) search. For conventional spectral searching estimators with local scattering, the searching complexity and estimating accuracy strictly depend on the number of search grids used during the search. In order to obtain high-resolution and accurate DOA estimation, a smaller grid size is needed. This is time consuming and it is unclear how to determine the required number of search grids. In this paper, a modified PSO is presented to reduce the required search grids for the conventional spectral searching estimator with the effects of local scattering. Finally, several computer simulations are provided for illustration and comparison.http://www.mdpi.com/1424-8220/12/3/3228/particle swarm optimizationdirection-of-arrival estimationCDMAlocal scattering
spellingShingle Jhih-Chung Chang
DOA Estimation for Local Scattered CDMA Signals by Particle Swarm Optimization
Sensors
particle swarm optimization
direction-of-arrival estimation
CDMA
local scattering
title DOA Estimation for Local Scattered CDMA Signals by Particle Swarm Optimization
title_full DOA Estimation for Local Scattered CDMA Signals by Particle Swarm Optimization
title_fullStr DOA Estimation for Local Scattered CDMA Signals by Particle Swarm Optimization
title_full_unstemmed DOA Estimation for Local Scattered CDMA Signals by Particle Swarm Optimization
title_short DOA Estimation for Local Scattered CDMA Signals by Particle Swarm Optimization
title_sort doa estimation for local scattered cdma signals by particle swarm optimization
topic particle swarm optimization
direction-of-arrival estimation
CDMA
local scattering
url http://www.mdpi.com/1424-8220/12/3/3228/
work_keys_str_mv AT jhihchungchang doaestimationforlocalscatteredcdmasignalsbyparticleswarmoptimization