A simplified widely linear iterative equalizer for SC-FDE systems

Chang, Bruno S.; Monego, Hermes Irineu Del; Munaretto, Anelise; Fonseca, Mauro; Souza, Richard Demo

doi:10.1109/wd.2017.7918134

Cited by 7 publications

(5 citation statements)

References 12 publications

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“…For other values of SNR and block size there is also a performance advantage when using WL equalization. Future developments of this work could include a performance evaluation using multiple hydrophones in the receiver [17] and/or using iterative widely linear frequency domain equalization [18]. ACKNOWLEDGMENT This work has been partially sponsored by CNPq (Brazil).…”

Section: Discussionmentioning

confidence: 99%

Widely linear SC-FDE systems for underwater acoustic communication: Experimental results

Chang

Socheleau

Laot

2016

OCEANS 2016 MTS/IEEE Monterey

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Abstract-This work presents experimental results for single carrier underwater communication systems using widely linear frequency domain equalization. The underwater channel models were obtained from a stochastic replay-based channel simulator, which was fed with data from channel measurements conducted in the harbor of Brest (France). It was seen that when symbols from improper constellations are considered it is possible to obtain a performance gain in this scenario for different conditions if widely linear equalization is used.

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Section: Discussionmentioning

confidence: 99%

Widely linear SC-FDE systems for underwater acoustic communication: Experimental results

Chang

Socheleau

Laot

2016

OCEANS 2016 MTS/IEEE Monterey

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“…In order to simplify this process we assume, as in [9], that we have ideal feedback after the first iteration. With this, we have to C sŝ = Cŝŝ = Cŝ s = σ 2 s I N , C rŝ = C rs and Cŝ r = C sr .…”

Section: System Modelmentioning

confidence: 99%

“…With this, immediately after the first iteration the feedforward filter is switched to the matched filter. Note that the difference between the equalizer that takes into account the channel estimation errors and the one presented in [10] is the presence of the channel estimation error variances σ 2 e and σ 2 ie in (9). If both are equal to zero, we have the conventional SIMO IB-DFE equalizer seen in [10], i.e., H e = H ie = 0 N .…”

Section: System Modelmentioning

confidence: 99%

On the Impact of the Number of Interferers and Channel Estimation Errors in SC-FDE SIMO IB-DFE Systems

Pereira¹,

Chang²,

Rocha³

et al. 2020

Anais De XXXVIII Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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In this work, we analyze the effect of channel estimation errors on the bit error rate (BER) of a novel linear frequency domain iterative equalizer for SIMO single carrier systems with frequency domain equalization under the effect of multiple interferences, which takes the channel estimation errors into account in the equalization. It was found out that the proposed equalizer outperforms the iterative structure which does not take into account the channel estimation error process. Simulation results showed that this equalizer presents a better error performance when compared to its conventional version.

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“…ZF equalization directly uses the inverse matrix of the channel impulse response matrix as the filter coefficient, which is small in computation and low in complexity. However, when the channel has deep fading Electronics 2022, 11, 3397 2 of 13 poles, the noise increases, and the equalization performance decreases [11]. The purpose of MMSE is to optimize the mean square error to the minimum.…”

Section: Introductionmentioning

confidence: 99%

An Estimated δ-Based Iterative Block Decision Feedback Equalization in SC-FDE System

et al. 2022

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We provide a novel nonlinear frequency domain equalization algorithm for the frequency domain equalization of an SC-FDE system by improving the classical iterative block decision feedback equalization (IBDFE) algorithm and applying δ estimation to the improved algorithm. The improvement of the IBDFE algorithm is carried out by replacing the ZF equalization in the feedback branch with the MMSE equalization and eliminating the iteration of the correlation factor, thus reducing the noise error and the computational complexity of the original algorithm. δ estimation can estimate residual inter-symbol interference in the signal after MMSE equalization and reject it, thus further improving the equalization accuracy. The simulation results show that the performance of the novel algorithm is better than that of the IBDFE algorithm with similar complexity, or the complexity of the novel algorithm is lower than that of the IBDFE algorithm with similar performance.

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A simplified widely linear iterative equalizer for SC-FDE systems

Cited by 7 publications

References 12 publications

Widely linear SC-FDE systems for underwater acoustic communication: Experimental results

Widely linear SC-FDE systems for underwater acoustic communication: Experimental results

On the Impact of the Number of Interferers and Channel Estimation Errors in SC-FDE SIMO IB-DFE Systems

An Estimated δ-Based Iterative Block Decision Feedback Equalization in SC-FDE System

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