A new channel estimator for fast start-up equalization

Khalid A. Hamied; Mushfiqur Rahman; Mohamed S. El-Hennawey

doi:10.1109/26.76449

A new channel estimator for fast start-up equalization

Khalid A. Hamied
, Mushfiqur Rahman
, Mohamed S. El-Hennawey

King Fahd University of Petroleum & Minerals

Research output: Contribution to journal › Comment/debate

15 Scopus citations

Abstract

A new noniterative algorithm is proposed to estimate the sampled impulse response of unknown channels. With the proper choice of the training sequence, implementation of the proposed channel estimator requires only additions and subtractions, i.e., no multiplications or divisions are needed. Moreover, the structure of the estimator is so simple that it can be easily implemented using an ordinary microprocessor with minimal storage.The channel estimate can serve in reducing the effects of intersymbol interference either by the maximum likelihood sequence estimator (MLSE) using the Viterbi algorithm, or by channel equalization with a direct solution to obtain the optimum equalizer taps. A new procedure for the latter case is proposed here using the Levinson-Trench algorithm for fast start-up of adaptive equalizers in noisy environments. The performance of the proposed algorithm is evaluated through simulation and it is compared to some of the existing techniques. Computational efficiency is also taken into account. Results of simulation show the superiority of the proposed scheme.

Original language	English
Pages (from-to)	177-181
Number of pages	5
Journal	IEEE Transactions on Communications
Volume	39
Issue number	2
DOIs	https://doi.org/10.1109/26.76449
State	Published - Feb 1991

Bibliographical note

Funding Information:
Paper approved by the Editor for Channel Equalization of the IEEE Communications Society. Manuscript received December 26, 1988; revised June 30, 1989 and October 24, 1989. This work was supported by the King Fahd University of Petroleum and Minerals. K. Hamied and M. El-Hennawey are with the Department of Electrical Engineering, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. M. Rahman is with Telecom Australia Research Laboratories, Clayton, Victoria, Australia. IEEE Log Number 9040875.

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/26.76449

Cite this

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title = "A new channel estimator for fast start-up equalization",

abstract = "A new noniterative algorithm is proposed to estimate the sampled impulse response of unknown channels. With the proper choice of the training sequence, implementation of the proposed channel estimator requires only additions and subtractions, i.e., no multiplications or divisions are needed. Moreover, the structure of the estimator is so simple that it can be easily implemented using an ordinary microprocessor with minimal storage.The channel estimate can serve in reducing the effects of intersymbol interference either by the maximum likelihood sequence estimator (MLSE) using the Viterbi algorithm, or by channel equalization with a direct solution to obtain the optimum equalizer taps. A new procedure for the latter case is proposed here using the Levinson-Trench algorithm for fast start-up of adaptive equalizers in noisy environments. The performance of the proposed algorithm is evaluated through simulation and it is compared to some of the existing techniques. Computational efficiency is also taken into account. Results of simulation show the superiority of the proposed scheme.",

author = "Hamied, \{Khalid A.\} and Mushfiqur Rahman and El-Hennawey, \{Mohamed S.\}",

note = "Funding Information: Paper approved by the Editor for Channel Equalization of the IEEE Communications Society. Manuscript received December 26, 1988; revised June 30, 1989 and October 24, 1989. This work was supported by the King Fahd University of Petroleum and Minerals. K. Hamied and M. El-Hennawey are with the Department of Electrical Engineering, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. M. Rahman is with Telecom Australia Research Laboratories, Clayton, Victoria, Australia. IEEE Log Number 9040875.",

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N2 - A new noniterative algorithm is proposed to estimate the sampled impulse response of unknown channels. With the proper choice of the training sequence, implementation of the proposed channel estimator requires only additions and subtractions, i.e., no multiplications or divisions are needed. Moreover, the structure of the estimator is so simple that it can be easily implemented using an ordinary microprocessor with minimal storage.The channel estimate can serve in reducing the effects of intersymbol interference either by the maximum likelihood sequence estimator (MLSE) using the Viterbi algorithm, or by channel equalization with a direct solution to obtain the optimum equalizer taps. A new procedure for the latter case is proposed here using the Levinson-Trench algorithm for fast start-up of adaptive equalizers in noisy environments. The performance of the proposed algorithm is evaluated through simulation and it is compared to some of the existing techniques. Computational efficiency is also taken into account. Results of simulation show the superiority of the proposed scheme.

AB - A new noniterative algorithm is proposed to estimate the sampled impulse response of unknown channels. With the proper choice of the training sequence, implementation of the proposed channel estimator requires only additions and subtractions, i.e., no multiplications or divisions are needed. Moreover, the structure of the estimator is so simple that it can be easily implemented using an ordinary microprocessor with minimal storage.The channel estimate can serve in reducing the effects of intersymbol interference either by the maximum likelihood sequence estimator (MLSE) using the Viterbi algorithm, or by channel equalization with a direct solution to obtain the optimum equalizer taps. A new procedure for the latter case is proposed here using the Levinson-Trench algorithm for fast start-up of adaptive equalizers in noisy environments. The performance of the proposed algorithm is evaluated through simulation and it is compared to some of the existing techniques. Computational efficiency is also taken into account. Results of simulation show the superiority of the proposed scheme.

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JO - IEEE Transactions on Communications

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A new channel estimator for fast start-up equalization

Abstract

Bibliographical note

ASJC Scopus subject areas

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