A Soft-Switching Blind Equalization Scheme via Convex Combination of Adaptive Filters

Silva, Magno T. M.; Arenas‐García, Jerónimo

doi:10.1109/tsp.2012.2236835

Cited by 36 publications

(36 citation statements)

References 34 publications

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“…In [5], the authors applied a blind fuzzy controller algorithm to increase the equalizer convergence speed and decrease the residual MSE. A different solution was proposed in [19]. Similarly to the solution proposed in [6], in [19] two equalizers are continuously running in parallel and their combination is adapted to maximize the overall performance.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Modified Concurrent Equalizer

Mayer

Müller

Castro³

et al. 2019

JCIS

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Wireless and optical communication systems not infrequently are disrupted by intersymbol interference (ISI). Wireless communications are degraded by multipath propagation in the wireless channel, while optical communications are degraded due to chromatic and polarization mode dispersion. For both cases, equalization techniques are applied to circumvent the problem. In this context, this letter proposes a novel concurrent blind equalizer, based on the nonlinear modified constant modulus algorithm (NMCMA) and on the soft direct decision (SDD) algorithm. The proposed nonlinear modified concurrent equalizer (NMCE) combines the NMCMA sharp decision regions with the SDD fast convergence, resulting in improved performance. The NMCE is compared with the NMCMA and with the constant modulus algorithm CMA-SDD equalizers under static and dynamic multipath scenarios with nonlinearities at the receiver analog front-end. Results show that the proposed solution presents lower steady-state mean squared error (MSE) and reduced symbol error rate (SER) when compared with the NMCMA and the CMA-SDD equalizers, even in dynamic propagation scenarios.

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Section: Introductionmentioning

confidence: 99%

Nonlinear Modified Concurrent Equalizer

Mayer

Müller

Castro³

et al. 2019

JCIS

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“…The algorithm itself generates an estimate of the desired response by applying a nonlinear transformation to sequences involved in the adaptation process [4]. Adaptive equalizers are widely used in digital communications systems to remove the ISI introduced by dispersive channels [5]. In order to avoid the transmission of pilot sequences and use the channel bandwidth in an efficient manner the blind equalization techniques are highly desirable.…”

Section: Introductionmentioning

confidence: 99%

“…In order to avoid the transmission of pilot sequences and use the channel bandwidth in an efficient manner the blind equalization techniques are highly desirable. A popular approach for the blind adaptation of finite impulse response (FIR) equalizers is the constant modulus algorithm [6] [7] and its variant known as multi modulus algorithm [8] [9] [10] due to their low computational cost [5].…”

Section: Introductionmentioning

confidence: 99%

A New Equalization Performance Analyzing Method for Blind Adaptive Equalizers Inspired by Maximum Time Interval Error

Suissa¹,

Pinchas²

2017

JSIP

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Up to now, the Mean Square Error (MSE) criteria, the residual Inter-Symbol Interference (ISI) and the Bit-Error-Rate (BER) were used to analyze the equalization performance of a blind adaptive equalizer in its convergence state. In this paper, we propose an additional tool (additional to the ISI, MSE and BER) for analyzing the equalization performance in the convergence region based on the Maximum Time Interval Error (MTIE) criterion that is used for the specification of clock stability requirements in telecommunications standards. This new tool preserves the short term statistical information unlike the already known tools (BER, ISI, MSE) that lack this information. Simulation results will show that the equalization performance of a blind adaptive equalizer obtained in the convergence region for two different channels is seen to be approximately the same from the residual ISI and MSE point of view while this is not the case with our new proposed tool. Thus, our new proposed tool might be considered as a more sensitive tool compared to the ISI and MSE method.

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“…(decision-directed: DD) [2] 와 같이 원신호점을 기준 신 호로 사용하는 신호점 기준 판정(symbol-based decision) 알고리즘으로 전환하거나(동작 모드 전환 방식) [3] , 이들 알고리즘을 병행 사용하거나(이중 모드 동작 방식) [4] , 또는 동시에 사용하는 것이다(동시 등화 방식) [5] . 에 수렴시키는 것으로 알려져 있다 [6] .…”

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A New Decision-Directed Equalization with Improved Blind Convergence Properties by Error Scaling

2015

The Journal of Korean Institute of Communications and Informati

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A Soft-Switching Blind Equalization Scheme via Convex Combination of Adaptive Filters

Cited by 36 publications

References 34 publications

Nonlinear Modified Concurrent Equalizer

Nonlinear Modified Concurrent Equalizer

A New Equalization Performance Analyzing Method for Blind Adaptive Equalizers Inspired by Maximum Time Interval Error

A New Decision-Directed Equalization with Improved Blind Convergence Properties by Error Scaling

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