Optimal tracking of doubly-selective radio channels for OFDM based modern wireless systems

Idrees, Nazar Muhammad; Yu, Xianbin; Springer, Andreas

doi:10.1016/j.phycom.2019.100739

Cited by 7 publications

(5 citation statements)

References 30 publications

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“…It should be noted that the solution of the minimization problems (21) and (23) constrained to (22) and (24) consists of constructing the following Lagrangian and then annulling its partial derivatives:…”

Section: Lagrangian Optimizationmentioning

confidence: 99%

“…The literature on selective channels estimation shows a variety of approaches. Linear minimum mean square error (LMMSE) [19], Discrete Fourier transform based technique [20] and basis expansion modelbased channel estimation [21] have been widely investigated. Current research on OFDM systems is focused on adaptive weighted averaging estimator [22].…”

Section: Introductionmentioning

confidence: 99%

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Twin Support Vector Regression for complex millimetric wave propagation environment

Charrada

Samet

2020

Heliyon

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In this article, an effective millimetric wave channel estimation algorithm based on Twin Support Vector Regression (TSVR) is proposed. This algorithm exploits Discrete Wavelet Transform (DWT) in order to denoise samples in learning phase and then enhance fitting performance. An indoor complex conference room environment full of furniture and electronic equipments is adopted for experiments. Through the proposed approach, channel frequency responses are directly estimated using the Orthogonal Frequency Division Multiplexing (OFDM) reference symbol pattern by solving two quadratic programming problems in order to improve generalization aptitude and computational speed. We consider in this work a Channel Impulse Response (CIR) of 60 GHz multipath transmission system generated by the "Wireless InSite" ray tracer by Remcom. The numerical experiments confirm the performance of the proposed approach compared to other conventional algorithms for several configuration scenarios with and without mobility.

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Section: Lagrangian Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Twin Support Vector Regression for complex millimetric wave propagation environment

Charrada

Samet

2020

Heliyon

View full text Add to dashboard Cite

show abstract

“…Least square (LS), linear minimum mean square error (LMMSE) [4]- [6] and discrete Fourier transform (DFT) based methods [7]- [10] are conventional algorithms to be used. In doubly selective scenarios, basis expansion model (BEM) [11]- [13] and finite state Markov model (FSM) [14] have been proposed to model the channel and the corresponding channel estimation algorithms were proposed. Zhang et al [15] developed an adaptive weighted averaging estimator for OFDM systems.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Channel Estimation for OFDM System by Wavelet Transform Based Weighted TSVR

et al. 2020

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An efficient nonlinear channel estimation method for pilot-aided orthogonal frequency division multiplexing system is proposed in this work. The considered channel is selective in time and frequency domain, that is doubly selective channel. Wavelet transform based weighted twin support vector regression is used for channel frequency response estimation, which is suitable for the regression of nonlinear system. Different from traditional support vector regression algorithm, the proposed algorithm gives samples different weights according to their variance calculated based on wavelet transform. The weights are added into both first and quadratic terms of the objective functions to reduce the impact of outliers, which is likely to appear in the received pilot signal polluted by noise. The proposed channel estimation algorithm has good generalization ability and can reduce the influence of overfitting problem. The results of computational tests show that the proposed algorithm is with better estimating performance compared to the classical pilot-aided channel estimation methods. INDEX TERMS Channel estimation, orthogonal frequency division multiplexing, twin support vector regression, wavelet transform.

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“…In order to solve this problem, serval algorithms were proposed. Basis expansion model (BEM) for doubly selective channel was established and algorithms for channel estimation were proposed in [12]- [14]. Zhang [18] designed adaptive weighted estimators for OFDM systems.…”

mentioning

confidence: 99%

“…Transmitted pilot value matrix X P and pilot posi-tion T =[n∆t, m∆f ], n = 0, ..., N t − 1, m = 0, ..., N f − 1; received pilot value Y P ; the selected constants c 1 , c 2 , c 3 , c 4 , ν 1 and ν 2 , in(15) and(16); A, σ in(14).Output: The estimated channel frequency response of all subcarriersH 1/2 . Process: 1.…”

mentioning

confidence: 99%

Weighted TSVR Based Nonlinear Channel Frequency Response Estimation for MIMO-OFDM System

Lei

Zhang

et al. 2020

IEEE Access

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Optimal tracking of doubly-selective radio channels for OFDM based modern wireless systems

Cited by 7 publications

References 30 publications

Twin Support Vector Regression for complex millimetric wave propagation environment

Twin Support Vector Regression for complex millimetric wave propagation environment

Nonlinear Channel Estimation for OFDM System by Wavelet Transform Based Weighted TSVR

Weighted TSVR Based Nonlinear Channel Frequency Response Estimation for MIMO-OFDM System

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