LLMS adaptive beamforming algorithm implemented with finite precision
This paper studies the influence of the use of finite wordlength on the operation of the LLMS adaptive beamforming algorithm. The convergence behavior of LLMS algorithm, based on the minimum mean square error (MSE), is analyzed for operation with finite precision. Computer simulation results verify...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Published: |
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/14392 |
| _version_ | 1848748610910420992 |
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| author | Srar, J. Chung, Kah-Seng Mansour, A. |
| author_facet | Srar, J. Chung, Kah-Seng Mansour, A. |
| author_sort | Srar, J. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper studies the influence of the use of finite wordlength on the operation of the LLMS adaptive beamforming algorithm. The convergence behavior of LLMS algorithm, based on the minimum mean square error (MSE), is analyzed for operation with finite precision. Computer simulation results verify that a wordlength of eight bits is sufficient for the LLMS algorithm to achieve performance close to that provided by full precision. Based on the simulation results, it is shown that the LLMS algorithm outperforms least mean square (LMS) in addition to other earlier algorithms, such as, modified robust variable step size (MRVSS) and constrained stability LMS (CSLMS). |
| first_indexed | 2025-11-14T07:07:47Z |
| format | Conference Paper |
| id | curtin-20.500.11937-14392 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:07:47Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-143922018-03-29T09:06:09Z LLMS adaptive beamforming algorithm implemented with finite precision Srar, J. Chung, Kah-Seng Mansour, A. This paper studies the influence of the use of finite wordlength on the operation of the LLMS adaptive beamforming algorithm. The convergence behavior of LLMS algorithm, based on the minimum mean square error (MSE), is analyzed for operation with finite precision. Computer simulation results verify that a wordlength of eight bits is sufficient for the LLMS algorithm to achieve performance close to that provided by full precision. Based on the simulation results, it is shown that the LLMS algorithm outperforms least mean square (LMS) in addition to other earlier algorithms, such as, modified robust variable step size (MRVSS) and constrained stability LMS (CSLMS). 2012 Conference Paper http://hdl.handle.net/20.500.11937/14392 10.1109/TELFOR.2012.6419207 restricted |
| spellingShingle | Srar, J. Chung, Kah-Seng Mansour, A. LLMS adaptive beamforming algorithm implemented with finite precision |
| title | LLMS adaptive beamforming algorithm implemented with finite precision |
| title_full | LLMS adaptive beamforming algorithm implemented with finite precision |
| title_fullStr | LLMS adaptive beamforming algorithm implemented with finite precision |
| title_full_unstemmed | LLMS adaptive beamforming algorithm implemented with finite precision |
| title_short | LLMS adaptive beamforming algorithm implemented with finite precision |
| title_sort | llms adaptive beamforming algorithm implemented with finite precision |
| url | http://hdl.handle.net/20.500.11937/14392 |