Broadband direction-of-arrival estimators with frequency derivative constraints
This thesis reports investigation work on designing a direction-of-arrival estimator with broadband capability. The approach taken is based on the Multiple Signal Classification (MUSIC) algorithm. The solution is obtained by first reformulating the MUSIC algorithm as a constrained optimization probl...
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| Format: | Thesis |
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2009
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| Online Access: | http://hdl.handle.net/10356/19594 |
| _version_ | 1826110507180883968 |
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| author | Yap, Adrian Cheng Lock |
| author2 | Er, Meng Hwa |
| author_facet | Er, Meng Hwa Yap, Adrian Cheng Lock |
| author_sort | Yap, Adrian Cheng Lock |
| collection | NTU |
| description | This thesis reports investigation work on designing a direction-of-arrival estimator with broadband capability. The approach taken is based on the Multiple Signal Classification (MUSIC) algorithm. The solution is obtained by first reformulating the MUSIC algorithm as a constrained optimization problem. In the optimization problem, a weight vector, which is constrained to be orthogonal to the signal subspace, is obtained to best approximate the steering vector at a particular direction. This weight vector is then used to evaluate the power value at the direction at which the weight vector is solved for. One obtains the spatial spectrum if the power values are calculated for all directions. It is shown that the spatial spectrum obtained from the optimization problem is indeed the well known MUSIC algorithm. |
| first_indexed | 2024-10-01T02:35:34Z |
| format | Thesis |
| id | ntu-10356/19594 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T02:35:34Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | ntu-10356/195942023-07-04T15:30:18Z Broadband direction-of-arrival estimators with frequency derivative constraints Yap, Adrian Cheng Lock Er, Meng Hwa School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems This thesis reports investigation work on designing a direction-of-arrival estimator with broadband capability. The approach taken is based on the Multiple Signal Classification (MUSIC) algorithm. The solution is obtained by first reformulating the MUSIC algorithm as a constrained optimization problem. In the optimization problem, a weight vector, which is constrained to be orthogonal to the signal subspace, is obtained to best approximate the steering vector at a particular direction. This weight vector is then used to evaluate the power value at the direction at which the weight vector is solved for. One obtains the spatial spectrum if the power values are calculated for all directions. It is shown that the spatial spectrum obtained from the optimization problem is indeed the well known MUSIC algorithm. Master of Engineering 2009-12-14T06:17:01Z 2009-12-14T06:17:01Z 1997 1997 Thesis http://hdl.handle.net/10356/19594 NANYANG TECHNOLOGICAL UNIVERSITY 152 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems Yap, Adrian Cheng Lock Broadband direction-of-arrival estimators with frequency derivative constraints |
| title | Broadband direction-of-arrival estimators with frequency derivative constraints |
| title_full | Broadband direction-of-arrival estimators with frequency derivative constraints |
| title_fullStr | Broadband direction-of-arrival estimators with frequency derivative constraints |
| title_full_unstemmed | Broadband direction-of-arrival estimators with frequency derivative constraints |
| title_short | Broadband direction-of-arrival estimators with frequency derivative constraints |
| title_sort | broadband direction of arrival estimators with frequency derivative constraints |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems |
| url | http://hdl.handle.net/10356/19594 |
| work_keys_str_mv | AT yapadrianchenglock broadbanddirectionofarrivalestimatorswithfrequencyderivativeconstraints |