Reduced-Complexity Direction of Arrival Estimation Using Real-Valued Computation with Arbitrary Array Configurations
A low-complexity algorithm is presented to dramatically reduce the complexity of the multiple signal classification (MUSIC) algorithm for direction of arrival (DOA) estimation, in which both tasks of eigenvalue decomposition (EVD) and spectral search are implemented with efficient real-valued comput...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
|
| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2018/3284619 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832550200249417728 |
|---|---|
| author | Feng-Gang Yan Jun Wang Shuai Liu Yi Shen Ming Jin |
| author_facet | Feng-Gang Yan Jun Wang Shuai Liu Yi Shen Ming Jin |
| author_sort | Feng-Gang Yan |
| collection | DOAJ |
| description | A low-complexity algorithm is presented to dramatically reduce the complexity of the multiple signal classification (MUSIC) algorithm for direction of arrival (DOA) estimation, in which both tasks of eigenvalue decomposition (EVD) and spectral search are implemented with efficient real-valued computations, leading to about 75% complexity reduction as compared to the standard MUSIC. Furthermore, the proposed technique has no dependence on array configurations and is hence suitable for arbitrary array geometries, which shows a significant implementation advantage over most state-of-the-art unitary estimators including unitary MUSIC (U-MUSIC). Numerical simulations over a wide range of scenarios are conducted to show the performance of the new technique, which demonstrates that with a significantly reduced computational complexity, the new approach is able to provide a close accuracy to the standard MUSIC. |
| format | Article |
| id | doaj-art-2bac5352384842fe9721ce4b00a455ba |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-2bac5352384842fe9721ce4b00a455ba2025-02-03T06:07:24ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772018-01-01201810.1155/2018/32846193284619Reduced-Complexity Direction of Arrival Estimation Using Real-Valued Computation with Arbitrary Array ConfigurationsFeng-Gang Yan0Jun Wang1Shuai Liu2Yi Shen3Ming Jin4Harbin Institute of Technology at Weihai, Weihai 264209, ChinaHarbin Institute of Technology at Weihai, Weihai 264209, ChinaHarbin Institute of Technology at Weihai, Weihai 264209, ChinaHarbin Institute of Technology, Harbin 150001, ChinaHarbin Institute of Technology at Weihai, Weihai 264209, ChinaA low-complexity algorithm is presented to dramatically reduce the complexity of the multiple signal classification (MUSIC) algorithm for direction of arrival (DOA) estimation, in which both tasks of eigenvalue decomposition (EVD) and spectral search are implemented with efficient real-valued computations, leading to about 75% complexity reduction as compared to the standard MUSIC. Furthermore, the proposed technique has no dependence on array configurations and is hence suitable for arbitrary array geometries, which shows a significant implementation advantage over most state-of-the-art unitary estimators including unitary MUSIC (U-MUSIC). Numerical simulations over a wide range of scenarios are conducted to show the performance of the new technique, which demonstrates that with a significantly reduced computational complexity, the new approach is able to provide a close accuracy to the standard MUSIC.http://dx.doi.org/10.1155/2018/3284619 |
| spellingShingle | Feng-Gang Yan Jun Wang Shuai Liu Yi Shen Ming Jin Reduced-Complexity Direction of Arrival Estimation Using Real-Valued Computation with Arbitrary Array Configurations International Journal of Antennas and Propagation |
| title | Reduced-Complexity Direction of Arrival Estimation Using Real-Valued Computation with Arbitrary Array Configurations |
| title_full | Reduced-Complexity Direction of Arrival Estimation Using Real-Valued Computation with Arbitrary Array Configurations |
| title_fullStr | Reduced-Complexity Direction of Arrival Estimation Using Real-Valued Computation with Arbitrary Array Configurations |
| title_full_unstemmed | Reduced-Complexity Direction of Arrival Estimation Using Real-Valued Computation with Arbitrary Array Configurations |
| title_short | Reduced-Complexity Direction of Arrival Estimation Using Real-Valued Computation with Arbitrary Array Configurations |
| title_sort | reduced complexity direction of arrival estimation using real valued computation with arbitrary array configurations |
| url | http://dx.doi.org/10.1155/2018/3284619 |
| work_keys_str_mv | AT fenggangyan reducedcomplexitydirectionofarrivalestimationusingrealvaluedcomputationwitharbitraryarrayconfigurations AT junwang reducedcomplexitydirectionofarrivalestimationusingrealvaluedcomputationwitharbitraryarrayconfigurations AT shuailiu reducedcomplexitydirectionofarrivalestimationusingrealvaluedcomputationwitharbitraryarrayconfigurations AT yishen reducedcomplexitydirectionofarrivalestimationusingrealvaluedcomputationwitharbitraryarrayconfigurations AT mingjin reducedcomplexitydirectionofarrivalestimationusingrealvaluedcomputationwitharbitraryarrayconfigurations |