Finite-alphabet based channel estimation for OFDM and related multicarrier systems

Shengli Zhou; Georgios B. Giannakis

doi:10.1109/26.939873

Finite-alphabet based channel estimation for OFDM and related multicarrier systems

Shengli Zhou, Georgios B. Giannakis

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

172 Scopus citations

Abstract

Novel blind channel estimators based on the finite alphabet property of information symbols are derived in this paper for OFDM and related multicarrier code-division multiple access (MC-CDMA) systems. The resulting algorithms are applicable not only to standard OFDM transmitters with cyclic prefix, but also to the recently proposed zero padded OFDM transmissions that improve symbol recovery at the expense of altering the transmitter and complicating the equalizer. Based on FFT-processed received data, channel identifiability is guaranteed regardless of channel zero locations and various channel estimation algorithms become available by trading off complexity for performance. Unlike existing blind channel estimators, the proposed alternatives require short data records especially for PSK transmissions. The inherent scalar ambiguity is easily resolved because it has unit amplitude and phase values drawn from a finite set. Decoupling channel from symbol estimation enables a phase-directed operation that improves upon decision-directed schemes that are known to suffer from error propagation. Practical issues are also addressed including the presence of frequency guard intervals, constellation and power loading, various frame designs, coded transmissions as well as semi-blind and online implementations for systems with training sequences. The algorithms are tested with simulations and also compared with existing alternatives in a realistic HIPERLAN/2 setting.

Original language	English (US)
Pages (from-to)	1402-1414
Number of pages	13
Journal	IEEE Transactions on Communications
Volume	49
Issue number	8
DOIs	https://doi.org/10.1109/26.939873
State	Published - Aug 2001

Bibliographical note

Funding Information:
Paper approved by C. Tellambura, the editor for Multicarrier Systems of the IEEE Communication Society, Manuscript received March 10, 2000; revised December 24, 2000. This work was supported by the National Science Foundation Wireless Initiative under Grant 99-79443 and the ARL under Grant DAAL01-98-Q-0648. This paper was presented in part at the Conference on Information Sciences and Systems (CISS), Princeton, NJ, March 15-17, 2000.

Keywords

Blind channel estimation
Multicarrier transmission
OFDM

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10.1109/26.939873

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abstract = "Novel blind channel estimators based on the finite alphabet property of information symbols are derived in this paper for OFDM and related multicarrier code-division multiple access (MC-CDMA) systems. The resulting algorithms are applicable not only to standard OFDM transmitters with cyclic prefix, but also to the recently proposed zero padded OFDM transmissions that improve symbol recovery at the expense of altering the transmitter and complicating the equalizer. Based on FFT-processed received data, channel identifiability is guaranteed regardless of channel zero locations and various channel estimation algorithms become available by trading off complexity for performance. Unlike existing blind channel estimators, the proposed alternatives require short data records especially for PSK transmissions. The inherent scalar ambiguity is easily resolved because it has unit amplitude and phase values drawn from a finite set. Decoupling channel from symbol estimation enables a phase-directed operation that improves upon decision-directed schemes that are known to suffer from error propagation. Practical issues are also addressed including the presence of frequency guard intervals, constellation and power loading, various frame designs, coded transmissions as well as semi-blind and online implementations for systems with training sequences. The algorithms are tested with simulations and also compared with existing alternatives in a realistic HIPERLAN/2 setting.",

keywords = "Blind channel estimation, Multicarrier transmission, OFDM",

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note = "Funding Information: Paper approved by C. Tellambura, the editor for Multicarrier Systems of the IEEE Communication Society, Manuscript received March 10, 2000; revised December 24, 2000. This work was supported by the National Science Foundation Wireless Initiative under Grant 99-79443 and the ARL under Grant DAAL01-98-Q-0648. This paper was presented in part at the Conference on Information Sciences and Systems (CISS), Princeton, NJ, March 15-17, 2000.",

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N2 - Novel blind channel estimators based on the finite alphabet property of information symbols are derived in this paper for OFDM and related multicarrier code-division multiple access (MC-CDMA) systems. The resulting algorithms are applicable not only to standard OFDM transmitters with cyclic prefix, but also to the recently proposed zero padded OFDM transmissions that improve symbol recovery at the expense of altering the transmitter and complicating the equalizer. Based on FFT-processed received data, channel identifiability is guaranteed regardless of channel zero locations and various channel estimation algorithms become available by trading off complexity for performance. Unlike existing blind channel estimators, the proposed alternatives require short data records especially for PSK transmissions. The inherent scalar ambiguity is easily resolved because it has unit amplitude and phase values drawn from a finite set. Decoupling channel from symbol estimation enables a phase-directed operation that improves upon decision-directed schemes that are known to suffer from error propagation. Practical issues are also addressed including the presence of frequency guard intervals, constellation and power loading, various frame designs, coded transmissions as well as semi-blind and online implementations for systems with training sequences. The algorithms are tested with simulations and also compared with existing alternatives in a realistic HIPERLAN/2 setting.

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Finite-alphabet based channel estimation for OFDM and related multicarrier systems

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