The generalized polynomial predictor based receiver for the nonselective fading channel

Leon, Wing Seng; Taylor, D.P.

doi:10.1109/glocom.2000.891274

Cited by 2 publications

(2 citation statements)

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“…A faster fading channel is more difficult to track; hence, it introduces a fade-rate-related error. Furthermore, due to the truncation effect of the Taylor series expansion, more terms in the series (hence a higher polynomial order and predictor length) are required to support a higher fade rate [19]. This is shown in Fig.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

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MIMO Channel Estimation and Tracking Based on Polynomial Prediction With Application to Equalization

Kho

Taylor

2008

IEEE Trans. Veh. Technol.

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Abstract-This paper presents a multiple-input-multipleoutput (MIMO) receiver design with integrated channel estimation and tracking for a time-varying frequency-selective Rician or Rayleigh fading environment. It first extends a polynomialpredictor-based channel estimation and tracking approach to a MIMO system. The structure and complexity of the estimator are similar to that of an optimum estimator using a Kalman filter, but it does not require a priori knowledge of the channel statistics. It employs a fixed-state transition matrix using precomputed polynomial coefficients and can be used in a Rician fading environment without reconfiguration. It is integrated with a MIMO minimum-mean-squared-error decision feedback equalizer, and simulation results show that the system performance using the estimator can be made comparable to that employing a Kalman estimator under a broad range of channel conditions.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

“…, P may be derived for each polynomial sequence. Following [17]- [19], for the µth scalar channel sample in (5) for µ = 1, 2, . .…”

Section: B Polynomial-based State-space Modelmentioning

confidence: 99%

MIMO Channel Estimation and Tracking Based on Polynomial Prediction With Application to Equalization

Kho

Taylor

2008

IEEE Trans. Veh. Technol.

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The polynomial-based generalized recursive least squares estimator for Rayleigh fading channels

Leon

Taylor

GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489)

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The generalized polynomial predictor based receiver for the nonselective fading channel

Cited by 2 publications

References 16 publications

MIMO Channel Estimation and Tracking Based on Polynomial Prediction With Application to Equalization

MIMO Channel Estimation and Tracking Based on Polynomial Prediction With Application to Equalization

The polynomial-based generalized recursive least squares estimator for Rayleigh fading channels

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