Analysis of the RLMS Adaptive Beamforming Algorithm Implemented with Finite Precision
This paper studies the influence of the use of finite wordlength on the operation of the RLMS adaptive beamformingalgorithm. The convergence behavior of RLMS, based on the minimum mean square error (MSE), is analyzed for operation with finite precision. Computer simulation results verify that a word...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
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IEEE
2010
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| Online Access: | http://hdl.handle.net/20.500.11937/13115 |
| _version_ | 1848748261577326592 |
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| author | Srar, Jalal Abdulsayed Chung, Kah-Seng Mansour, Ali |
| author2 | APCC 2010 Technical Program Committee |
| author_facet | APCC 2010 Technical Program Committee Srar, Jalal Abdulsayed Chung, Kah-Seng Mansour, Ali |
| author_sort | Srar, Jalal Abdulsayed |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper studies the influence of the use of finite wordlength on the operation of the RLMS adaptive beamformingalgorithm. The convergence behavior of RLMS, based on the minimum mean square error (MSE), is analyzed for operation with finite precision. Computer simulation results verify that a wordlength of nine bits is sufficient for the RLMS algorithm to achieve performance close to that provided by full precision. The performance measures used include residual MSE, rate of convergence, error vector magnitude (EVM), and beam pattern. Based on all these measures, it is shown that the RLMS algorithm outperforms other earlier algorithms, such as least mean square (LMS), recursive least square (RLS), modified robust variable step size (MRVSS) and constrained stability LMS (CSLMS). |
| first_indexed | 2025-11-14T07:02:14Z |
| format | Conference Paper |
| id | curtin-20.500.11937-13115 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:02:14Z |
| publishDate | 2010 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-131152017-01-30T11:34:55Z Analysis of the RLMS Adaptive Beamforming Algorithm Implemented with Finite Precision Srar, Jalal Abdulsayed Chung, Kah-Seng Mansour, Ali APCC 2010 Technical Program Committee array beamforming RLMS algorithm fixed-point arithmetic component This paper studies the influence of the use of finite wordlength on the operation of the RLMS adaptive beamformingalgorithm. The convergence behavior of RLMS, based on the minimum mean square error (MSE), is analyzed for operation with finite precision. Computer simulation results verify that a wordlength of nine bits is sufficient for the RLMS algorithm to achieve performance close to that provided by full precision. The performance measures used include residual MSE, rate of convergence, error vector magnitude (EVM), and beam pattern. Based on all these measures, it is shown that the RLMS algorithm outperforms other earlier algorithms, such as least mean square (LMS), recursive least square (RLS), modified robust variable step size (MRVSS) and constrained stability LMS (CSLMS). 2010 Conference Paper http://hdl.handle.net/20.500.11937/13115 IEEE fulltext |
| spellingShingle | array beamforming RLMS algorithm fixed-point arithmetic component Srar, Jalal Abdulsayed Chung, Kah-Seng Mansour, Ali Analysis of the RLMS Adaptive Beamforming Algorithm Implemented with Finite Precision |
| title | Analysis of the RLMS Adaptive Beamforming Algorithm Implemented with Finite Precision |
| title_full | Analysis of the RLMS Adaptive Beamforming Algorithm Implemented with Finite Precision |
| title_fullStr | Analysis of the RLMS Adaptive Beamforming Algorithm Implemented with Finite Precision |
| title_full_unstemmed | Analysis of the RLMS Adaptive Beamforming Algorithm Implemented with Finite Precision |
| title_short | Analysis of the RLMS Adaptive Beamforming Algorithm Implemented with Finite Precision |
| title_sort | analysis of the rlms adaptive beamforming algorithm implemented with finite precision |
| topic | array beamforming RLMS algorithm fixed-point arithmetic component |
| url | http://hdl.handle.net/20.500.11937/13115 |