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Far-Field DOA Estimation of Uncorrelated RADAR Signals through Coprime Arrays in Low SNR Regime by Implementing Cuckoo Search Algorithm.

Authors :
Hameed, Khurram
Khan, Wasim
Abdalla, Yasser S.
Al-Harbi, Fatemah F.
Armghan, Ammar
Asif, Muhammad
Salman Qamar, Muhammad
Ali, Farman
Miah, Md Sipon
Alibakhshikenari, Mohammad
Dalarsson, Mariana
Source :
Electronics (2079-9292); Feb2022, Vol. 11 Issue 4, p558, 1p
Publication Year :
2022

Abstract

For the purpose of attaining a high degree of freedom (DOF) for the direction of arrival (DOA) estimations in radar technology, coprime sensor arrays (CSAs) are evaluated in this paper. In addition, the global and local minima of extremely non-linear functions are investigated, aiming to improve DOF. The optimization features of the cuckoo search (CS) algorithm are utilized for DOA estimation of far-field sources in a low signal-to-noise ratio (SNR) environment. The analytical approach of the proposed CSAs, CS and global and local minima in terms of cumulative distribution function (CDF), fitness function and SNR for DOA accuracy are presented. The parameters like root mean square error (RMSE) for frequency distribution, RMSE variability analysis, estimation accuracy, RMSE for CDF, robustness against snapshots and noise and RMSE for Monte Carlo simulation runs are explored for proposed model performance estimation. In conclusion, the proposed DOA estimation in radar technology through CS and CSA achievements are contrasted with existing tools such as particle swarm optimization (PSO). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20799292
Volume :
11
Issue :
4
Database :
Complementary Index
Journal :
Electronics (2079-9292)
Publication Type :
Academic Journal
Accession number :
155709355
Full Text :
https://doi.org/10.3390/electronics11040558