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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Main Authors: Fenggang Sun, Bin Gao, Lizhen Chen, Peng Lan
Format: Article
Language:English
Published: MDPI AG 2016-08-01
Series:Sensors
Subjects:
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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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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