Performance of RLMS algorithm in adaptive array beam forming
This paper examines the performance of an adaptive linear array employing the new RLMS algorithm, which consists of a recursive least square (RLS) section followed by a least mean square (LMS) section. The performance measures used are output and input signal-to-interference plus noise ratios (SINR)...
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| Format: | Conference Paper |
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Institute of Electrical and Electronics Engineers (IEEE)
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/12403 |
| _version_ | 1848748066743517184 |
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| author | Srar, Jalal Chung, Kah-Seng |
| author2 | ICCS 2008 Technical Program Committee |
| author_facet | ICCS 2008 Technical Program Committee Srar, Jalal Chung, Kah-Seng |
| author_sort | Srar, Jalal |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper examines the performance of an adaptive linear array employing the new RLMS algorithm, which consists of a recursive least square (RLS) section followed by a least mean square (LMS) section. The performance measures used are output and input signal-to-interference plus noise ratios (SINR), side lobe level (SLL), and SINRo as a function of the direction of arrival of the interfering signal. Computer simulation results show that the performance of RLMS is superior to either the RLS or LMS based on these measures, particularly when operating with low input SINR. |
| first_indexed | 2025-11-14T06:59:08Z |
| format | Conference Paper |
| id | curtin-20.500.11937-12403 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:59:08Z |
| publishDate | 2008 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-124032017-09-13T16:01:59Z Performance of RLMS algorithm in adaptive array beam forming Srar, Jalal Chung, Kah-Seng ICCS 2008 Technical Program Committee This paper examines the performance of an adaptive linear array employing the new RLMS algorithm, which consists of a recursive least square (RLS) section followed by a least mean square (LMS) section. The performance measures used are output and input signal-to-interference plus noise ratios (SINR), side lobe level (SLL), and SINRo as a function of the direction of arrival of the interfering signal. Computer simulation results show that the performance of RLMS is superior to either the RLS or LMS based on these measures, particularly when operating with low input SINR. 2008 Conference Paper http://hdl.handle.net/20.500.11937/12403 10.1109/ICCS.2008.4737233 Institute of Electrical and Electronics Engineers (IEEE) fulltext |
| spellingShingle | Srar, Jalal Chung, Kah-Seng Performance of RLMS algorithm in adaptive array beam forming |
| title | Performance of RLMS algorithm in adaptive array beam forming |
| title_full | Performance of RLMS algorithm in adaptive array beam forming |
| title_fullStr | Performance of RLMS algorithm in adaptive array beam forming |
| title_full_unstemmed | Performance of RLMS algorithm in adaptive array beam forming |
| title_short | Performance of RLMS algorithm in adaptive array beam forming |
| title_sort | performance of rlms algorithm in adaptive array beam forming |
| url | http://hdl.handle.net/20.500.11937/12403 |