Wideband DOA estimation based on quantum charged system search algorithm

An efficient wideband direction of arrival (DOA) estimation method named as CSM-ML based on maximum likelihood (ML) estimation and the coherent signal-subspace method (CSM) is mainly noticed. But the objective function of CSM-ML is multidimensional and nonlinear, and its complexity is very high. In...

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Bibliographic Details
Published in:International Conference on Signal Processing (Print) Vol. 1; pp. 605 - 609
Main Authors: Gao, Hongyuan, Zang, Guojian, Ma, Yuwei
Format: Conference Proceeding
Language:English
Published: IEEE 06.12.2020
Subjects:
Array signal processing
Cascading style sheets
CSM
Direction-of-arrival estimation
DOA estimation
Estimation
Frequency estimation
Optimization
quantum charged system search algorithm
Wideband
wideband signals
ISBN:1728144795, 9781728144795
ISSN:2164-5221
Online Access:Get full text
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Summary:An efficient wideband direction of arrival (DOA) estimation method named as CSM-ML based on maximum likelihood (ML) estimation and the coherent signal-subspace method (CSM) is mainly noticed. But the objective function of CSM-ML is multidimensional and nonlinear, and its complexity is very high. In order to solve the problems, a new optimization algorithm named as quantum charged system search (QCSS) algorithm is put forward. By means of the charged system search (CSS) algorithm and quantum optimization theory, the QCSS is developed through the designing of new quantum evolutionary equations. It has faster convergence speed, higher accuracy and it can better overcome local optimal solutions. Computer simulation indicates that the wideband DOA estimation method based on QCSS is superior to the previous wideband DOA estimation methods based on intelligence algorithms.
ISBN:1728144795
9781728144795
ISSN:2164-5221
DOI:10.1109/ICSP48669.2020.9320943