Self-Iterating Soft Equalizer

Jeong, Soon Young; Moon, Jaekyun

doi:10.1109/tcomm.2013.071813.120354

Cited by 15 publications

(14 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the high rate case, at the right side of the figure, filter receiver's performance is over 1 dB worse for BER < 10 −3 , and although SIBLE-EPIC still has a better decoding threshold, it recovers less diversity than the proposed FD SILE-EPIC. This phenomenon should not be surprising, as exact receivers can be more prone to error propagation when decoder provides erroneous feedback, as also observed in filter receivers [45].…”

Section: Comparison With Ep-based Receivers In Prior Workmentioning

confidence: 61%

A Framework for Iterative Frequency Domain EP-Based Receiver Design

Sahin

Cipriano

Poulliat

et al. 2018

IEEE Trans. Commun.

View full text Add to dashboard Cite

An original expectation propagation (EP) based message passing framework is introduced, wherein transmitted symbols are considered to belong to the multivariate white Gaussian distribution family. This approach allows deriving a novel class of single-tap frequency domain (FD) receivers with a quasi-linear computational complexity in block length, thanks to Fast-Fourier transform (FFT) based implementation. This framework is exposed in detail, through the design of a novel double-loop single-carrier frequency domain equalizer (SC-FDE), where self-iterations of the equalizer with the demapper, and turbo iterations with the decoder, provide numerous combinations for the performance and complexity trade-off. Furthermore, the flexibility of this framework is illustrated with the derivation of an overlap FDE, used for time-varying channel equalization, among others, and with the design of a FD multiple-input multiple-output (MIMO) detector, used for spatial multiplexing. Through these different receiver design problems, this framework is shown to improve the mitigation of inter-symbol, inter-block and multi-antenna interferences, compared to alternative singletap FD structures of previous works. Thanks to finite-length and asymptotic analysis, supported by numerical results, the improvement brought by the proposed structures is assessed, and then completed by also accounting for computational costs.

show abstract

Section: Comparison With Ep-based Receivers In Prior Workmentioning

confidence: 61%

A Framework for Iterative Frequency Domain EP-Based Receiver Design

Sahin

Cipriano

Poulliat

et al. 2018

IEEE Trans. Commun.

View full text Add to dashboard Cite

show abstract

“…The question is how we should generate L a,M (x n ) to pass onto the main equalizer, given this correlation. The answer turns out to be a specific scaling law between L a,B (x n ) and L e,B (x n ), as already described in [24]. Below, we provide an improved derivation/justification for the same scaling law.…”

Section: A Generation Of Uncorrelated a Priori Informationmentioning

confidence: 66%

Self-Iterating Soft Equalizer

Jeong

Moon²

2011

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

View full text Add to dashboard Cite

A self-iterating soft equalizer (SISE) consisting of a few relatively weak constituent equalizers is shown to provide robust performance even in severe intersymbol interference (ISI) channels that exhibit deep nulls and valleys within the signal band. Constituent equalizers are allowed to exchange soft information in the absence of interleavers based on the method that are designed to suppress significant correlation among their soft outputs. The resulting SISE works well as a stand-alone equalizer or as the equalizer component of a turbo equalization system. The performance advantages over existing methods are validated with bit-error-rate (BER) simulations and extrinsic information transfer (EXIT) chart analysis. It is shown that in turbo equalizer setting the SISE achieves performance closer to the maximum a posteriori probability equalizer than any other known schemes in very severe ISI channels.[7]. The same authors also investigated the SISO DFE but concluded that it is inferior to the LE counterpart of [8]. The authors of [13] considered a more severe ISI channel of the form [1 2 3 4 3 2 1], a natural extension of the previously considered ISI patterns by Proakis, and showed that for this channel, there is a substantial performance gap between the LE-based turbo equalizer of [8] and the BCJR-based turbo equalizer. They showed that using reduced-trellis search based on soft-decision-feedback can close this performance gap with the BCJR-based turbo equalizer.This approach was also shown to be effective for the magnetic recording channel [14].Another meaningful development on suboptimal equalization is to employ two DFEs (or DFE variants) running in opposite directions and combine their extrinsic information [17]-[21]. This October 30, 2018 DRAFT

show abstract

“…Soft feedback equalizer (SFE) was investigated in [11]. The SFE coefficients can be computed so as to minimize the MSE (mean-squared-error).…”

Section: Introductionmentioning

confidence: 99%

Joint Kalman Channel Estimation and Turbo Equalization for MIMO OFDM Systems over Fast Fading Channels

2019

KSII TIIS

View full text Add to dashboard Cite

The paper investigates a novel detector receiver with Kalman channel information estimator and iterative channel response equalization for MIMO (multi-input multi-output) OFDM (orthogonal frequency division multiplexing) communication systems in fast multipath fading environments. The performances of the existing linear equalizers (LE) are not good enough over most fast fading multipath channels. The existing adaptive equalizer with decision feedback structure (ADFE) can improve the performance of LE. But error-propagation effect seriously degrades the system performance of the ADFE, especially when operated in fast multipath fading environments. By considering the Kalman channel impulse response estimation for the fast fading multipath channels based on CE-BEM (complex exponential basis expansion) model, the paper proposes the iterative receiver with soft decision feedback equalization (SDFE) structure in the fast multipath fading environments. The proposed SDFE detector receiver combats the error-propagation effect for fast multipath fading channels and outperform the existing LE and ADFE. We demonstrate several simulations to confirm the ability of the proposed iterative receiver over the existing receivers.

show abstract

Self-Iterating Soft Equalizer

Cited by 15 publications

References 27 publications

A Framework for Iterative Frequency Domain EP-Based Receiver Design

A Framework for Iterative Frequency Domain EP-Based Receiver Design

Self-Iterating Soft Equalizer

Joint Kalman Channel Estimation and Turbo Equalization for MIMO OFDM Systems over Fast Fading Channels

Contact Info

Product

Resources

About