Bit Error Rate Minimizing Channel Shortening Equalizers for Cyclic Prefixed Systems

Martin, Richard R.; Ysebaert, G.; Vanbleu, K.

doi:10.1109/tsp.2007.893913

Cited by 20 publications

(12 citation statements)

References 32 publications

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“…The goal of using shortening equalizers in high-speed communication receivers is to remove ISI in order to maximize data rate [4] or minimize bit-error rate [17]. Although maximizing SSNR is not necessarily equivalent to maximizing data rate [4] or minimizing the channel delay spread [18], it makes the shortening equalizer design problem mathematically tractable and efficient to implement.…”

Section: Channel Shortening Filter Designmentioning

confidence: 99%

Design of Sparse Filters for Channel Shortening

Chopra

Evans

2011

J Sign Process Syst

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Channel shortening equalizers are used in acoustics to reduce reverberation, in error control decoding to reduce complexity, and in communication receivers to reduce inter-symbol interference. The cascade of a channel and channel shortening equalizer ideally produces an overall impulse response that has most of its energy compacted into fewer adjacent samples. Once designed, channel shortening equalizers filter the received signal on a per-sample basis and need to be adapted or re-designed if the channel impulse response changes significantly. In this paper, we evaluate sparse filters as channel shortening equalizers. Unlike conventional dense filters, sparse filters have a small number of non-contiguous non-zero coefficients. Our contributions include (1) proposing optimal and suboptimal low complexity algorithms for sparse shortening filter design, and (2) evaluating impulse response energy compaction vs. design and implementation stage computational complexity tradeoffs for the proposed algorithms. We apply the proposed equalizer design procedures to (1) asymmetric digital subscriber line channels and (2) underwater acoustic communication channels. Our simulation results utilize measured channel impulse responses and show that sparse filters are able to achieve the same channel energy compaction with half as many coefficients as dense filters.

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Section: Channel Shortening Filter Designmentioning

confidence: 99%

Design of Sparse Filters for Channel Shortening

Chopra

Evans

2011

J Sign Process Syst

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“…In other words, maximum SSNR (MSSNR) designs in [8] and [9] optimize the BER before the actual signal detection in any system. This is the reason, though they shorten the channel effectively, they perform poorly in terms of BER as mentioned in [19]. Eq.…”

Section: Ber Optimizationmentioning

confidence: 99%

“…In UWB systems, channel energy capture is crucial to maintain a good output SNR, whereas in most of the existing TEQ designs, except few [8], [9], [19], channel delay spread or bit rate is more critical than captured energy. Recently, a TEQ design was proposed which directly minimizes the bit error rate (BER) of a cyclic prefixed based system [19]. In this paper, we extend the idea of BER minimization to UWB systems.…”

Section: Introductionmentioning

confidence: 99%

Channel shortening through bit error rate minimization for UWB systems

Husain

Yuan

Zhang

2008

2008 Australian Communications Theory Workshop

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Ultra wideband (UWB) communication systems occupy huge bandwidths with very low power spectral densities. This feature make the UWB channels highly rich in resolvable multipaths. To exploit the temporal diversity, the receiver is commonly implemented through a rake. The aim to capture enough signal energy to maintain an acceptable output signal to noise ratio (SNR) dictates a very complicated rake structure with a large number of fingers. Channel shortening or time domain equalizer (TEQ) can simplify the rake receiver design by reducing the number of significant taps in the effective channel.In this paper, we present a TEQ design which minimizes the bit error rate (BER) of the system to perform efficient channel shortening in UWB systems. The performance of the proposed algorithm is compared with a generic TEQ design and other rake structures in UWB channels. It is shown that the proposed algorithm maintains a lower BER along with efficiently shortening the channel.Index Terms-Channel shortening, time domain equalizer (TEQ), RAKE receiver, ultra wideband (UWB).

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“…In the literature, many non-blind channel-shortening algorithms [9]- [15] have been proposed for single-input singleoutput (SISO) OFDM systems, some of which have also been extended [16]- [18] to MIMO channels. These techniques require a priori knowledge of the impulse responses of the channels to be shortened, which can be obtained via the transmission of training sequences.…”

Section: Introductionmentioning

confidence: 99%

Blind Channel Shortening for Space-Time-Frequency Block Coded MIMO-OFDM Systems

Darsena

Gelli²,

Paura³

et al. 2012

IEEE Trans. Wireless Commun.

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This paper deals with multiple-input multiple-output (MIMO) broadband wireless communication systems, employing orthogonal frequency-division multiplexing (OFDM) with cyclic prefix (CP) in combination with space-time-frequency block coding (STFBC). In order to exploit the benefits of OFDM and STFBC in highly frequency-selective channels, without incurring in a significant increase of receiver complexity, a channel shortening prefilter is inserted at the receiver, aimed at reducing the length of the MIMO channel impulse response before CP removal. Two MIMO channel shorteners are proposed, both relying on linearly-constrained minimization of the mean-output-energy of the signal at the output of the channel shortener, where the linear constraints are optimally chosen so as to maximize the signal-to-noise ratio either at the output of the channel shortener or at the input of the STFBC maximum-likelihood decoder. Unlike other solutions proposed in the literature, these shortening designs are blind ones, i.e., a priori knowledge of the MIMO channel impulse response to be shortened is not required, and can be carried out in closed-form, i.e., iterative computation of the prefilter weights is not necessary. Numerical simulations show that, without a substantial increase in computational complexity, receivers equipped with the proposed blind channel shorteners pay only a negligible performance penalty with respect to non-blind channel shorteners, while being significantly more robust to finite sample-size effects

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Bit Error Rate Minimizing Channel Shortening Equalizers for Cyclic Prefixed Systems

Cited by 20 publications

References 32 publications

Design of Sparse Filters for Channel Shortening

Design of Sparse Filters for Channel Shortening

Channel shortening through bit error rate minimization for UWB systems

Blind Channel Shortening for Space-Time-Frequency Block Coded MIMO-OFDM Systems

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