DOA and Polarization Estimation Using an Electromagnetic Vector Sensor Uniform Circular Array Based on the ESPRIT Algorithm
In array signal processing systems, the direction of arrival (DOA) and polarization of signals based on uniform linear or rectangular sensor arrays are generally obtained by rotational invariance techniques (ESPRIT). However, since the ESPRIT algorithm relies on the rotational invariant structure of...
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MDPI AG
2016-12-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/16/12/2109 |
| _version_ | 1811299958894100480 |
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| author | Na Wu Zhiyu Qu Weijian Si Shuhong Jiao |
| author_facet | Na Wu Zhiyu Qu Weijian Si Shuhong Jiao |
| author_sort | Na Wu |
| collection | DOAJ |
| description | In array signal processing systems, the direction of arrival (DOA) and polarization of signals based on uniform linear or rectangular sensor arrays are generally obtained by rotational invariance techniques (ESPRIT). However, since the ESPRIT algorithm relies on the rotational invariant structure of the received data, it cannot be applied to electromagnetic vector sensor arrays (EVSAs) featuring uniform circular patterns. To overcome this limitation, a fourth-order cumulant-based ESPRIT algorithm is proposed in this paper, for joint estimation of DOA and polarization based on a uniform circular EVSA. The proposed algorithm utilizes the fourth-order cumulant to obtain a virtual extended array of a uniform circular EVSA, from which the pairs of rotation invariant sub-arrays are obtained. The ESPRIT algorithm and parameter pair matching are then utilized to estimate the DOA and polarization of the incident signals. The closed-form parameter estimation algorithm can effectively reduce the computational complexity of the joint estimation, which has been demonstrated by numerical simulations. |
| first_indexed | 2024-04-13T06:44:17Z |
| format | Article |
| id | doaj.art-dfd42c813170415585dcba3853c6c50f |
| institution | Directory Open Access Journal |
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| language | English |
| last_indexed | 2024-04-13T06:44:17Z |
| publishDate | 2016-12-01 |
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| spelling | doaj.art-dfd42c813170415585dcba3853c6c50f2022-12-22T02:57:39ZengMDPI AGSensors1424-82202016-12-011612210910.3390/s16122109s16122109DOA and Polarization Estimation Using an Electromagnetic Vector Sensor Uniform Circular Array Based on the ESPRIT AlgorithmNa Wu0Zhiyu Qu1Weijian Si2Shuhong Jiao3Department of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaDepartment of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaDepartment of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaDepartment of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaIn array signal processing systems, the direction of arrival (DOA) and polarization of signals based on uniform linear or rectangular sensor arrays are generally obtained by rotational invariance techniques (ESPRIT). However, since the ESPRIT algorithm relies on the rotational invariant structure of the received data, it cannot be applied to electromagnetic vector sensor arrays (EVSAs) featuring uniform circular patterns. To overcome this limitation, a fourth-order cumulant-based ESPRIT algorithm is proposed in this paper, for joint estimation of DOA and polarization based on a uniform circular EVSA. The proposed algorithm utilizes the fourth-order cumulant to obtain a virtual extended array of a uniform circular EVSA, from which the pairs of rotation invariant sub-arrays are obtained. The ESPRIT algorithm and parameter pair matching are then utilized to estimate the DOA and polarization of the incident signals. The closed-form parameter estimation algorithm can effectively reduce the computational complexity of the joint estimation, which has been demonstrated by numerical simulations.http://www.mdpi.com/1424-8220/16/12/2109electromagnetic vector sensor array (EVSA)DOA and polarization estimationESPRIT algorithmfourth-order cumulantuniform circular arrayrotation invariant |
| spellingShingle | Na Wu Zhiyu Qu Weijian Si Shuhong Jiao DOA and Polarization Estimation Using an Electromagnetic Vector Sensor Uniform Circular Array Based on the ESPRIT Algorithm Sensors electromagnetic vector sensor array (EVSA) DOA and polarization estimation ESPRIT algorithm fourth-order cumulant uniform circular array rotation invariant |
| title | DOA and Polarization Estimation Using an Electromagnetic Vector Sensor Uniform Circular Array Based on the ESPRIT Algorithm |
| title_full | DOA and Polarization Estimation Using an Electromagnetic Vector Sensor Uniform Circular Array Based on the ESPRIT Algorithm |
| title_fullStr | DOA and Polarization Estimation Using an Electromagnetic Vector Sensor Uniform Circular Array Based on the ESPRIT Algorithm |
| title_full_unstemmed | DOA and Polarization Estimation Using an Electromagnetic Vector Sensor Uniform Circular Array Based on the ESPRIT Algorithm |
| title_short | DOA and Polarization Estimation Using an Electromagnetic Vector Sensor Uniform Circular Array Based on the ESPRIT Algorithm |
| title_sort | doa and polarization estimation using an electromagnetic vector sensor uniform circular array based on the esprit algorithm |
| topic | electromagnetic vector sensor array (EVSA) DOA and polarization estimation ESPRIT algorithm fourth-order cumulant uniform circular array rotation invariant |
| url | http://www.mdpi.com/1424-8220/16/12/2109 |
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