A novel ULA-based geometry for improving AOA estimation
<p>Abstract</p> <p>Due to relatively simple implementation, Uniform Linear Array (ULA) is a popular geometry for array signal processing. Despite this advantage, it does not have a uniform performance in all directions and Angle of Arrival (AOA) estimation performance degrades cons...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2011-01-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Subjects: | |
| Online Access: | http://asp.eurasipjournals.com/content/2011/1/39 |
| _version_ | 1818525918430232576 |
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| author | Akbari Farida Shirvani-Moghaddam Shahriar |
| author_facet | Akbari Farida Shirvani-Moghaddam Shahriar |
| author_sort | Akbari Farida |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Due to relatively simple implementation, Uniform Linear Array (ULA) is a popular geometry for array signal processing. Despite this advantage, it does not have a uniform performance in all directions and Angle of Arrival (AOA) estimation performance degrades considerably in the angles close to endfire. In this article, a new configuration is proposed which can solve this problem. Proposed Array (PA) configuration adds two elements to the ULA in top and bottom of the array axis. By extending signal model of the ULA to the new proposed ULA-based array, AOA estimation performance has been compared in terms of angular accuracy and resolution threshold through two well-known AOA estimation algorithms, MUSIC and MVDR. In both algorithms, Root Mean Square Error (RMSE) of the detected angles descends as the input Signal to Noise Ratio (SNR) increases. Simulation results show that the proposed array geometry introduces uniform accurate performance and higher resolution in middle angles as well as border ones. The PA also presents less RMSE than the ULA in endfire directions. Therefore, the proposed array offers better performance for the border angles with almost the same array size and simplicity in both MUSIC and MVDR algorithms with respect to the conventional ULA. In addition, AOA estimation performance of the PA geometry is compared with two well-known 2D-array geometries: L-shape and V-shape, and acceptable results are obtained with equivalent or lower complexity.</p> |
| first_indexed | 2024-12-11T06:15:43Z |
| format | Article |
| id | doaj.art-8441460b9b6743229f0aa07c57687b2e |
| institution | Directory Open Access Journal |
| issn | 1687-6172 1687-6180 |
| language | English |
| last_indexed | 2024-12-11T06:15:43Z |
| publishDate | 2011-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-8441460b9b6743229f0aa07c57687b2e2022-12-22T01:17:59ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802011-01-012011139A novel ULA-based geometry for improving AOA estimationAkbari FaridaShirvani-Moghaddam Shahriar<p>Abstract</p> <p>Due to relatively simple implementation, Uniform Linear Array (ULA) is a popular geometry for array signal processing. Despite this advantage, it does not have a uniform performance in all directions and Angle of Arrival (AOA) estimation performance degrades considerably in the angles close to endfire. In this article, a new configuration is proposed which can solve this problem. Proposed Array (PA) configuration adds two elements to the ULA in top and bottom of the array axis. By extending signal model of the ULA to the new proposed ULA-based array, AOA estimation performance has been compared in terms of angular accuracy and resolution threshold through two well-known AOA estimation algorithms, MUSIC and MVDR. In both algorithms, Root Mean Square Error (RMSE) of the detected angles descends as the input Signal to Noise Ratio (SNR) increases. Simulation results show that the proposed array geometry introduces uniform accurate performance and higher resolution in middle angles as well as border ones. The PA also presents less RMSE than the ULA in endfire directions. Therefore, the proposed array offers better performance for the border angles with almost the same array size and simplicity in both MUSIC and MVDR algorithms with respect to the conventional ULA. In addition, AOA estimation performance of the PA geometry is compared with two well-known 2D-array geometries: L-shape and V-shape, and acceptable results are obtained with equivalent or lower complexity.</p>http://asp.eurasipjournals.com/content/2011/1/39array processingantenna array geometryULAL-shapeV-shapeAOADOAMUSICMVDR |
| spellingShingle | Akbari Farida Shirvani-Moghaddam Shahriar A novel ULA-based geometry for improving AOA estimation EURASIP Journal on Advances in Signal Processing array processing antenna array geometry ULA L-shape V-shape AOA DOA MUSIC MVDR |
| title | A novel ULA-based geometry for improving AOA estimation |
| title_full | A novel ULA-based geometry for improving AOA estimation |
| title_fullStr | A novel ULA-based geometry for improving AOA estimation |
| title_full_unstemmed | A novel ULA-based geometry for improving AOA estimation |
| title_short | A novel ULA-based geometry for improving AOA estimation |
| title_sort | novel ula based geometry for improving aoa estimation |
| topic | array processing antenna array geometry ULA L-shape V-shape AOA DOA MUSIC MVDR |
| url | http://asp.eurasipjournals.com/content/2011/1/39 |
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