Fractional Tap-Spacing Equalizer and Consequences for Clock Recovery in Data Modems

Ungerboeck, G.

doi:10.1109/tcom.1976.1093381

Cited by 242 publications

(50 citation statements)

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“…Entretanto, nada impede que o receptor use uma taxa mais elevada. Isso pode levar a uma maior complexidade do receptor, mas também pode melhorar significativamente o desempenho de um equalizador (Gitlin, 1981;Ungerboeck, 1976). Uma vantagem importante de um equalizador FE, relação a um equalizador que opera à taxa de símbolo é que o primeiro é menos sensível à sincronização do sinal recebido (Proakis, 1995).…”

Section: Equalizadores Fracionalmente Espaçadosunclassified

Uso Do Processamento Largamente Em Um Equalizador Fracionalmente Espaçado Aplicado a Canais De Comunicações Seletivos Em Frequência

Aquino¹

2012

HOLOS

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Artigo submetido em dezembro/2011 e aceito em setembro/2012 RESUMO Os sistemas de comunicação que usam o ar (espaço) como meio de transmissão de dados estão sujeitos aos problemas de falta de visada direta e interferências, sendo, quase sempre, necessário um filtro (equalizador) para compensar os efeitos indesejáveis introduzidos pelo canal de comunicação. Inicialmente, este artigo apresenta os conceitos básicos sobre comunicação digital. Em seguida, é realizada uma análise do uso do processamento largamente linear aplicado à equalização de canais de comunicação usando equalizadores fracionalmente espaçados (FE). Resultados de simulação mostram que esta abordagem pode resolver com eficiência o problema de equalização do canal de comunicação digital. PALAVRAS-CHAVE:equalização, processamento largamente linear, canal de comunicação. USE OF WIDELY LINEAR PROCESSING IN A FRACTIONAL EQUALIZER APPLIED TO COMMUNICATION CHANNELS FREQUENCY SELECTIVE ABSTRACTCommunication systems that use air (space) as means of data transmission are subject to problems interference and lack of sight, being often, require a filter (equalizer) to offset the adverse effects introduced by the communication channel. Initially, this paper presents the basics of digital communication. Next is an analysis of the use of widely linear processing applied to the equalization of communication channels using fractionally spaced equalizer (FE). Simulation results show that this approach can effectively solve the problem of equalization of digital communication channel.

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Section: Equalizadores Fracionalmente Espaçadosunclassified

Uso Do Processamento Largamente Em Um Equalizador Fracionalmente Espaçado Aplicado a Canais De Comunicações Seletivos Em Frequência

Aquino¹

2012

HOLOS

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“…The proposed cost function for adaptive blind equalization of MIMO systems is given by (35) where , and is a functional of and for all defined as (36) with being the cumulant of the random complex variables and , defined as (37) for random variables satisfying for (38) It can be seen from Lemma 2 of Section V that if and only if the outputs of the equalizer are independent. Hence, in (35) makes the blind algorithm converge to distinct sources.…”

Section: A New Cost Functionmentioning

confidence: 99%

“…The fractionally spaced equalizer [7], [36] was originally proposed to suppress the timing sensitivity of communication systems. The convergence performance of the fractionally spaced decision-feedback equalizer has been investigated in [19].…”

Section: Introductionmentioning

confidence: 99%

Adaptive blind source separation and equalization for multiple-input/multiple-output systems

Liu

1998

IEEE Trans. Inform. Theory

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Abstract-In this paper, we investigate adaptive blind source separation and equalization for multiple-input/multiple-output (MIMO) systems. We first analyze the convergence of the constant modulus algorithm (CMA) used in MIMO systems (MIMO-CMA). Our analysis reveals that the MIMO-CMA equalizer is able to recover one of the input signals, remove the intersymbol interference (ISI), and suppress the other input signals. Furthermore, for the MIMO finite impulse response (FIR) systems satisfying certain conditions, the MIMO-CMA FIR equalizers are able to perfectly recover one of the system inputs regardless of the initial settings. We then propose a novel algorithm for blind source separation and equalization for MIMO systems. Our theoretical analysis proves that the new blind algorithm is able to recover all system inputs simultaneously regardless of the initial settings. Finally, computer simulation examples are presented to confirm our analysis and illustrate the effectiveness of blind source separation and equalization for MIMO systems.

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“…This transversal filter can operate at a sampling rate equal to the baud rate, in which case the equalizer noise' enhancement is somewhat sensitive to the sampling phase. An alternative is the "fractionally spaced equalizer," in which the sampling rate is twice the baud rate, reducing the sensitivity to sampling phase [29]. The transversal filter equalizer can be placed either before or after the EC, since the sampling rate requirements are modest.…”

Section: ) How Does the Equalizer Take Account Of Bridged Taps?mentioning

confidence: 99%

Design Issues in the ISDN U-Interface Transceiver

Messerschmitt

1986

IEEE J. Select. Areas Commun.

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Abstract-The design challenges faced in the integrated circuit realization of the basic customer access U-interface transceiver at 144 kbits/s in the integrated services digital network (ISDN) are summarized. Given the cost and performance objectives, thisrepresents a very challenging design problem from an algorithmic and technology point of view. This survey paper describes the alternative design approaches concentrating on algorithmic issues as opposed to circuit design issues, in the context of the echo cancellation (EC) method of full duplex data transmission. Particular emphasis is given to the areas of echo cancellation, equalization, line code selection, and timing recovery.

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Fractional Tap-Spacing Equalizer and Consequences for Clock Recovery in Data Modems

Cited by 242 publications

References 2 publications

Uso Do Processamento Largamente Em Um Equalizador Fracionalmente Espaçado Aplicado a Canais De Comunicações Seletivos Em Frequência

Uso Do Processamento Largamente Em Um Equalizador Fracionalmente Espaçado Aplicado a Canais De Comunicações Seletivos Em Frequência

Adaptive blind source separation and equalization for multiple-input/multiple-output systems

Design Issues in the ISDN U-Interface Transceiver

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