Variable step-size LMS algorithm for estimation of time-varying and frequency-selective channels

Filho, A.M. Arraes; Pinto, E.L.; Galdino, Juraci Ferreira

doi:10.1049/el:20046363

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Cited by 6 publications

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2013

Wireless Communications

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2013

Wireless Communications

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Joint channel estimation and equalisation of fast time‐varying frequency‐selective channels

Gligorevic¹

2007

Trans Emerging Tel Tech

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This paper addresses joint channel and data estimation for transmission over frequency-selective and timevarying channels based on a Doppler-variant channel impulse response (CIR). A discrete spreading function (DSF), which corresponds to the Doppler Fourier series of the time-varying channel taps, is introduced. The spectral leakage associated with the Fourier series representation is reduced by oversampling in Dopplerdirection. This approach, however, requires joint channel estimation and equalisation (JCE). Therefore, a recursive least squares (RLS) algorithm for the DSF estimation is combined with the data detection in a reduced state diagram. Furthermore, an enhanced metric, previously introduced in De Broeck et al. published by Kluwer Academic Publishers: Dordrecht, 2000) for time-invariant channels, is applied here for path selection. The performance of this metric is investigated here for time-varying and frequency-selective (TV-FS) channels. The performance of the proposed approach is compared with the JCE algorithm which uses RLS estimation of a CIR by simulations.

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Sparse channel estimation based on a reweighted least-mean mixed-norm adaptive filter algorithm

Wang

Albu

2016

2016 24th European Signal Processing Conference (EUSIPCO)

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Variable step-size LMS algorithm for estimation of time-varying and frequency-selective channels

Cited by 6 publications

References 3 publications

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Joint channel estimation and equalisation of fast time‐varying frequency‐selective channels

Sparse channel estimation based on a reweighted least-mean mixed-norm adaptive filter algorithm

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