Feedforward Data-Aided Phase Noise Estimation from a DCT Basis Expansion
<p/> <p>This contribution deals with phase noise estimation from pilot symbols. The phase noise process is approximated by an expansion of discrete cosine transform (DCT) basis functions containing only a few terms.We propose a feedforward algorithm that estimates the DCT coefficients wi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2009-01-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Online Access: | http://jwcn.eurasipjournals.com/content/2009/568570 |
| _version_ | 1830343728109191168 |
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| author | Bhatti Jabran Moeneclaey Marc |
| author_facet | Bhatti Jabran Moeneclaey Marc |
| author_sort | Bhatti Jabran |
| collection | DOAJ |
| description | <p/> <p>This contribution deals with phase noise estimation from pilot symbols. The phase noise process is approximated by an expansion of discrete cosine transform (DCT) basis functions containing only a few terms.We propose a feedforward algorithm that estimates the DCT coefficients without requiring detailed knowledge about the phase noise statistics. We demonstrate that the resulting (linearized) mean-square phase estimation error consists of two contributions: a contribution from the additive noise, that equals the Cramer-Rao lower bound, and a noise independent contribution, that results from the phase noise modeling error. We investigate the effect of the symbol sequence length, the pilot symbol positions, the number of pilot symbols, and the number of estimated DCT coefficients on the estimation accuracy and on the corresponding bit error rate (BER). We propose a pilot symbol configuration allowing to estimate any number of DCT coefficients not exceeding the number of pilot symbols, providing a considerable performance improvement as compared to other pilot symbol configurations. For large block sizes, the DCT-based estimation algorithm substantially outperforms algorithms that estimate only the time-average or the linear trend of the carrier phase.</p> |
| first_indexed | 2024-12-19T22:14:27Z |
| format | Article |
| id | doaj.art-fa97d24cc4894efaa944ccba0b0becd3 |
| institution | Directory Open Access Journal |
| issn | 1687-1472 1687-1499 |
| language | English |
| last_indexed | 2024-12-19T22:14:27Z |
| publishDate | 2009-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-fa97d24cc4894efaa944ccba0b0becd32022-12-21T20:03:50ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992009-01-0120091568570Feedforward Data-Aided Phase Noise Estimation from a DCT Basis ExpansionBhatti JabranMoeneclaey Marc<p/> <p>This contribution deals with phase noise estimation from pilot symbols. The phase noise process is approximated by an expansion of discrete cosine transform (DCT) basis functions containing only a few terms.We propose a feedforward algorithm that estimates the DCT coefficients without requiring detailed knowledge about the phase noise statistics. We demonstrate that the resulting (linearized) mean-square phase estimation error consists of two contributions: a contribution from the additive noise, that equals the Cramer-Rao lower bound, and a noise independent contribution, that results from the phase noise modeling error. We investigate the effect of the symbol sequence length, the pilot symbol positions, the number of pilot symbols, and the number of estimated DCT coefficients on the estimation accuracy and on the corresponding bit error rate (BER). We propose a pilot symbol configuration allowing to estimate any number of DCT coefficients not exceeding the number of pilot symbols, providing a considerable performance improvement as compared to other pilot symbol configurations. For large block sizes, the DCT-based estimation algorithm substantially outperforms algorithms that estimate only the time-average or the linear trend of the carrier phase.</p>http://jwcn.eurasipjournals.com/content/2009/568570 |
| spellingShingle | Bhatti Jabran Moeneclaey Marc Feedforward Data-Aided Phase Noise Estimation from a DCT Basis Expansion EURASIP Journal on Wireless Communications and Networking |
| title | Feedforward Data-Aided Phase Noise Estimation from a DCT Basis Expansion |
| title_full | Feedforward Data-Aided Phase Noise Estimation from a DCT Basis Expansion |
| title_fullStr | Feedforward Data-Aided Phase Noise Estimation from a DCT Basis Expansion |
| title_full_unstemmed | Feedforward Data-Aided Phase Noise Estimation from a DCT Basis Expansion |
| title_short | Feedforward Data-Aided Phase Noise Estimation from a DCT Basis Expansion |
| title_sort | feedforward data aided phase noise estimation from a dct basis expansion |
| url | http://jwcn.eurasipjournals.com/content/2009/568570 |
| work_keys_str_mv | AT bhattijabran feedforwarddataaidedphasenoiseestimationfromadctbasisexpansion AT moeneclaeymarc feedforwarddataaidedphasenoiseestimationfromadctbasisexpansion |