Far-Field DOA Estimation of Uncorrelated RADAR Signals through Coprime Arrays in Low SNR Regime by Implementing Cuckoo Search Algorithm
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/11/4/558 |
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| author | Khurram Hameed Wasim Khan Yasser S. Abdalla Fatemah F. Al-Harbi Ammar Armghan Muhammad Asif Muhammad Salman Qamar Farman Ali Md Sipon Miah Mohammad Alibakhshikenari Mariana Dalarsson |
| author_facet | Khurram Hameed Wasim Khan Yasser S. Abdalla Fatemah F. Al-Harbi Ammar Armghan Muhammad Asif Muhammad Salman Qamar Farman Ali Md Sipon Miah Mohammad Alibakhshikenari Mariana Dalarsson |
| author_sort | Khurram Hameed |
| collection | DOAJ |
| description | 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). |
| first_indexed | 2024-03-09T22:07:27Z |
| format | Article |
| id | doaj.art-6a2d37261ae740c89d86aa647e9207f7 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T22:07:27Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-6a2d37261ae740c89d86aa647e9207f72023-11-23T19:39:15ZengMDPI AGElectronics2079-92922022-02-0111455810.3390/electronics11040558Far-Field DOA Estimation of Uncorrelated RADAR Signals through Coprime Arrays in Low SNR Regime by Implementing Cuckoo Search AlgorithmKhurram Hameed0Wasim Khan1Yasser S. Abdalla2Fatemah F. Al-Harbi3Ammar Armghan4Muhammad Asif5Muhammad Salman Qamar6Farman Ali7Md Sipon Miah8Mohammad Alibakhshikenari9Mariana Dalarsson10Department of Electrical Engineering, International Islamic University, Islamabad 44000, PakistanDepartment of Electrical Engineering, International Islamic University, Islamabad 44000, PakistanDepartment of Computer Engineering and Networks, College of Computer and Information Sciences, Jouf University, Sakaka 72388, Saudi ArabiaDepartment of Physics, College of Science, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi ArabiaDepartment of Electrical Engineering, University of Science & Technology, Main Campus, Township Bannu, Bannu 28100, PakistanDepartment of Electrical Engineering, International Islamic University, Islamabad 44000, PakistanDepartment of Electrical Engineering, Qurtuba University of Science and IT, Dera Ismail Khan 29050, PakistanDepartment of Signal Theory and Communications, Universidad Carlos III de Madrid, Leganés, 28911 Madrid, SpainDepartment of Signal Theory and Communications, Universidad Carlos III de Madrid, Leganés, 28911 Madrid, SpainSchool of Electrical Engineering and Computer Science, KTH Royal Institude of Technology, 100-44 Stockholm, SwedenFor 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).https://www.mdpi.com/2079-9292/11/4/558cuckoo searchroot mean square errordirection of arrivalroot mean square errorcoprime sensor arrays |
| spellingShingle | Khurram Hameed Wasim Khan Yasser S. Abdalla Fatemah F. Al-Harbi Ammar Armghan Muhammad Asif Muhammad Salman Qamar Farman Ali Md Sipon Miah Mohammad Alibakhshikenari Mariana Dalarsson Far-Field DOA Estimation of Uncorrelated RADAR Signals through Coprime Arrays in Low SNR Regime by Implementing Cuckoo Search Algorithm Electronics cuckoo search root mean square error direction of arrival root mean square error coprime sensor arrays |
| title | Far-Field DOA Estimation of Uncorrelated RADAR Signals through Coprime Arrays in Low SNR Regime by Implementing Cuckoo Search Algorithm |
| title_full | Far-Field DOA Estimation of Uncorrelated RADAR Signals through Coprime Arrays in Low SNR Regime by Implementing Cuckoo Search Algorithm |
| title_fullStr | Far-Field DOA Estimation of Uncorrelated RADAR Signals through Coprime Arrays in Low SNR Regime by Implementing Cuckoo Search Algorithm |
| title_full_unstemmed | Far-Field DOA Estimation of Uncorrelated RADAR Signals through Coprime Arrays in Low SNR Regime by Implementing Cuckoo Search Algorithm |
| title_short | Far-Field DOA Estimation of Uncorrelated RADAR Signals through Coprime Arrays in Low SNR Regime by Implementing Cuckoo Search Algorithm |
| title_sort | far field doa estimation of uncorrelated radar signals through coprime arrays in low snr regime by implementing cuckoo search algorithm |
| topic | cuckoo search root mean square error direction of arrival root mean square error coprime sensor arrays |
| url | https://www.mdpi.com/2079-9292/11/4/558 |
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