Time-varying FIR equalization for doubly selective channels

Barhumi, Imad; Leus, Geert; Moonen, Marc

doi:10.1109/twc.2004.840204

Cited by 78 publications

(20 citation statements)

References 22 publications

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“…In this paper, we extend the results of [19], where timevarying FIR equalization for single-input multiple-output (SIMO) transmission over doubly selective channels was assumed, to the case of MIMO transmission over doubly selective channels. In addition to the ZF and MMSE equalizers, the matched filter equalizer is also derived.…”

Section: Introductionmentioning

confidence: 86%

Time-Varying FIR Equalization for MIMO Transmission over Doubly Selective Channels

Barhumi

Moonen

2008

IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference

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In this paper we propose time-varying FIR equalization techniques for multiple-input multiple-output (MIMO) transmission over doubly selective channels. The doubly selective channel is modeled using the basis expansion model (BEM), and equalized by means of time-varying FIR filters. The timevarying FIR filters are also modeled using the BEM. By doing this, the time-varying deconvolution problem is converted into a two-dimensional time-invariant deconvolution problem in the time-invariant coefficients of the channel BEM and the timeinvariant coefficients of the equalizer BEM. The time-varying FIR equalizers are derived based on the matched filtering criterion, as well as the minimum mean-squared error (MMSE) and the zero-forcing (ZF) criteria. The performance of the MMSE and ZF equalizers in the context of MIMO transmission is demonstrated by numerical simulations.

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Section: Introductionmentioning

confidence: 86%

Time-Varying FIR Equalization for MIMO Transmission over Doubly Selective Channels

Barhumi

Moonen

2008

IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference

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“…Since the BEM channel coefficient h q,l is time invariant over the window length, channel estimation can be performed in (Q +1) sub-OFDM symbols. From [4,5], we know that the main part of the inter-carrier interference on every subcarrier comes from the Q neighboring subcarriers. Besides, the research from [16] tells us the comb-type frequency pilot insertion will be a better way to get the channel information.…”

Section: The Pilot-assisted Channel Estimationmentioning

confidence: 99%

“…The beauty of using BEM also lies in the design of the equalization and ICI cancellation algorithms, in that it allows us to reduce a large design problem into a small one, only concerning the BEM coefficients of the channels [4,6].…”

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confidence: 99%

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A Joint OFDM Channel Estimation and ICI Cancellation for Double Selective Channels

Jiang

Speidel

Zhao

2007

Wireless Pers Commun

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Orthogonal frequency division multiplexing (OFDM) systems suffer significantly from inter-carrier interference (ICI) caused by double selective channels. In this paper, we develop a two-stage hybrid channel estimation and ICI cancellation structure for OFDM. The double selective channels are approximated by an improved Basis Expansion Model (BEM), which is more accurate than the conventional BEM when the normalized Doppler frequency is smaller than one. Based on this improved model, a new ICI cancellation scheme is proposed to reduce ICI impact. Simulation results show that the framework performs well.

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“…In this paper, we focus on a recently proposed technique for the modeling of doubly-selective channels: the Basis Expansion Model (BEM) [1], [2] and [3]. This new model has attracted a lot of attention recently for it allows an accurate representation of doubly-selective channels with a limited number of parameters and allows cheap and efficient channel equalization [4], [5] [2].…”

Section: Introductionmentioning

confidence: 99%

An iterative method for improved training-based estimation of doubly selective channels

Rousseaux

Leus²

2004 IEEE International Conference on Acoustics, Speech, and Signal Processing

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A new approach has been proposed recently to describe doublyselective channels (i.e. time-and frequency-selective channels) with a limited number of parameters referred to as the Basis Expansion Model (BEM). In the BEM, the true channel coefficients are approximated with a high accuracy using a limited number of complex exponentials. In this paper, we propose a new method in order to identify the BEM coefficients of the transmission channel. We consider a transmission scheme where several short training sequences (i.e. their length is comparable to the channel order) are inserted in the stream of data symbols. We propose an iterative method that exploits all the received symbols that contain contributions from the training sequences and blindly filters out the contribution of the unknown surrounding data symbols. The proposed method has a low computational complexity and outperforms existing methods proposed in a similar context.

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Time-varying FIR equalization for doubly selective channels

Cited by 78 publications

References 22 publications

Time-Varying FIR Equalization for MIMO Transmission over Doubly Selective Channels

Time-Varying FIR Equalization for MIMO Transmission over Doubly Selective Channels

A Joint OFDM Channel Estimation and ICI Cancellation for Double Selective Channels

An iterative method for improved training-based estimation of doubly selective channels

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