A linear prediction based estimation of signal-to-noise ratio in AWGN channel
Most signal-to-noise ratio (SNR) estimation techniques in digital communication channels derive the SNR estimates solely from samples of the received signal after the matched filter. They are based on symbol SNR and assume perfect synchronization and intersymbol interference (ISI)-free symbols. In s...
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| Format: | Article |
| Language: | English |
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ELECTRONICS TELECOMMUNICATIONS RESEARCH INST, 161 KAJONG-DONG, YUSONG-GU, TAEJON 305-350, SOUTH KOREA
2007
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| Online Access: | http://scholars.utp.edu.my/id/eprint/2325/ http://scholars.utp.edu.my/id/eprint/2325/1/SAMPLE_PAPER_PDF.pdf |
| _version_ | 1848659229262479360 |
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| author | NS, Kamel V., Jeoti |
| author_facet | NS, Kamel V., Jeoti |
| author_sort | NS, Kamel |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | Most signal-to-noise ratio (SNR) estimation techniques in digital communication channels derive the SNR estimates solely from samples of the received signal after the matched filter. They are based on symbol SNR and assume perfect synchronization and intersymbol interference (ISI)-free symbols. In severe channel distortion where ISI is significant, the performance of these estimators badly deteriorates. We propose an SNR estimator which can operate on data samples collected at the front-end of a receiver or at the input to the decision device. This will relax the restrictions over channel distortions and help extend the application of SNR estimators beyond system monitoring. The proposed estimator uses the characteristics of the second order moments of the additive white Gaussian noise digital communication channel and a linear predictor based on the modified-covariance algorithm in estimating the SNR value. The performance of the proposed technique is investigated and compared with other in-service SNR estimators in digital communication channels. The simulated performance is also compared to the Cramer-Rao bound as derived at the input of the decision circuit. |
| first_indexed | 2025-11-13T07:27:06Z |
| format | Article |
| id | oai:scholars.utp.edu.my:2325 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:27:06Z |
| publishDate | 2007 |
| publisher | ELECTRONICS TELECOMMUNICATIONS RESEARCH INST, 161 KAJONG-DONG, YUSONG-GU, TAEJON 305-350, SOUTH KOREA |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:23252017-01-19T08:26:53Z http://scholars.utp.edu.my/id/eprint/2325/ A linear prediction based estimation of signal-to-noise ratio in AWGN channel NS, Kamel V., Jeoti TK Electrical engineering. Electronics Nuclear engineering Most signal-to-noise ratio (SNR) estimation techniques in digital communication channels derive the SNR estimates solely from samples of the received signal after the matched filter. They are based on symbol SNR and assume perfect synchronization and intersymbol interference (ISI)-free symbols. In severe channel distortion where ISI is significant, the performance of these estimators badly deteriorates. We propose an SNR estimator which can operate on data samples collected at the front-end of a receiver or at the input to the decision device. This will relax the restrictions over channel distortions and help extend the application of SNR estimators beyond system monitoring. The proposed estimator uses the characteristics of the second order moments of the additive white Gaussian noise digital communication channel and a linear predictor based on the modified-covariance algorithm in estimating the SNR value. The performance of the proposed technique is investigated and compared with other in-service SNR estimators in digital communication channels. The simulated performance is also compared to the Cramer-Rao bound as derived at the input of the decision circuit. ELECTRONICS TELECOMMUNICATIONS RESEARCH INST, 161 KAJONG-DONG, YUSONG-GU, TAEJON 305-350, SOUTH KOREA 2007-10 Article PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/2325/1/SAMPLE_PAPER_PDF.pdf NS, Kamel and V., Jeoti (2007) A linear prediction based estimation of signal-to-noise ratio in AWGN channel. ETRI JOURNAL, 29 (5 ). 607-613 . ISSN 1225-6463 http://apps.isiknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=18&SID=V2M3DaJN@i6obPF9OiE&page=1&doc=1 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering NS, Kamel V., Jeoti A linear prediction based estimation of signal-to-noise ratio in AWGN channel |
| title | A linear prediction based estimation of signal-to-noise ratio in AWGN channel |
| title_full | A linear prediction based estimation of signal-to-noise ratio in AWGN channel |
| title_fullStr | A linear prediction based estimation of signal-to-noise ratio in AWGN channel |
| title_full_unstemmed | A linear prediction based estimation of signal-to-noise ratio in AWGN channel |
| title_short | A linear prediction based estimation of signal-to-noise ratio in AWGN channel |
| title_sort | linear prediction based estimation of signal-to-noise ratio in awgn channel |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://scholars.utp.edu.my/id/eprint/2325/ http://scholars.utp.edu.my/id/eprint/2325/ http://scholars.utp.edu.my/id/eprint/2325/1/SAMPLE_PAPER_PDF.pdf |