A Low-Complexity ESPRIT-Based DOA Estimation Method for Co-Prime Linear Arrays
The problem of direction-of-arrival (DOA) estimation is investigated for co-prime array, where the co-prime array consists of two uniform sparse linear subarrays with extended inter-element spacing. For each sparse subarray, true DOAs are mapped into several equivalent angles impinging on the tradit...
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MDPI AG
2016-08-01
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Online Access: | http://www.mdpi.com/1424-8220/16/9/1367 |
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author | Fenggang Sun Bin Gao Lizhen Chen Peng Lan |
author_facet | Fenggang Sun Bin Gao Lizhen Chen Peng Lan |
author_sort | Fenggang Sun |
collection | DOAJ |
description | The problem of direction-of-arrival (DOA) estimation is investigated for co-prime array, where the co-prime array consists of two uniform sparse linear subarrays with extended inter-element spacing. For each sparse subarray, true DOAs are mapped into several equivalent angles impinging on the traditional uniform linear array with half-wavelength spacing. Then, by applying the estimation of signal parameters via rotational invariance technique (ESPRIT), the equivalent DOAs are estimated, and the candidate DOAs are recovered according to the relationship among equivalent and true DOAs. Finally, the true DOAs are estimated by combining the results of the two subarrays. The proposed method achieves a better complexity–performance tradeoff as compared to other existing methods. |
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institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-11T11:58:58Z |
publishDate | 2016-08-01 |
publisher | MDPI AG |
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series | Sensors |
spelling | doaj.art-cddadfae0a484931a256fa80619651b02022-12-22T04:25:00ZengMDPI AGSensors1424-82202016-08-01169136710.3390/s16091367s16091367A Low-Complexity ESPRIT-Based DOA Estimation Method for Co-Prime Linear ArraysFenggang Sun0Bin Gao1Lizhen Chen2Peng Lan3College of Information Science and Engineering, Shandong Agricultural University, Tai’an 271018, ChinaCollege of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, ChinaCollege of Information Science and Engineering, Shandong Agricultural University, Tai’an 271018, ChinaCollege of Information Science and Engineering, Shandong Agricultural University, Tai’an 271018, ChinaThe problem of direction-of-arrival (DOA) estimation is investigated for co-prime array, where the co-prime array consists of two uniform sparse linear subarrays with extended inter-element spacing. For each sparse subarray, true DOAs are mapped into several equivalent angles impinging on the traditional uniform linear array with half-wavelength spacing. Then, by applying the estimation of signal parameters via rotational invariance technique (ESPRIT), the equivalent DOAs are estimated, and the candidate DOAs are recovered according to the relationship among equivalent and true DOAs. Finally, the true DOAs are estimated by combining the results of the two subarrays. The proposed method achieves a better complexity–performance tradeoff as compared to other existing methods.http://www.mdpi.com/1424-8220/16/9/1367direction of arrival (DOA) estimationco-prime arrayESPRITsparse arrayequivalent DOAs |
spellingShingle | Fenggang Sun Bin Gao Lizhen Chen Peng Lan A Low-Complexity ESPRIT-Based DOA Estimation Method for Co-Prime Linear Arrays Sensors direction of arrival (DOA) estimation co-prime array ESPRIT sparse array equivalent DOAs |
title | A Low-Complexity ESPRIT-Based DOA Estimation Method for Co-Prime Linear Arrays |
title_full | A Low-Complexity ESPRIT-Based DOA Estimation Method for Co-Prime Linear Arrays |
title_fullStr | A Low-Complexity ESPRIT-Based DOA Estimation Method for Co-Prime Linear Arrays |
title_full_unstemmed | A Low-Complexity ESPRIT-Based DOA Estimation Method for Co-Prime Linear Arrays |
title_short | A Low-Complexity ESPRIT-Based DOA Estimation Method for Co-Prime Linear Arrays |
title_sort | low complexity esprit based doa estimation method for co prime linear arrays |
topic | direction of arrival (DOA) estimation co-prime array ESPRIT sparse array equivalent DOAs |
url | http://www.mdpi.com/1424-8220/16/9/1367 |
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