Data Communications Principles

Gitlin, Richard D.; Hayes, Jeremiah F.; Weinstein, Stephen B.

doi:10.1007/978-1-4615-3292-7

Cited by 253 publications

(89 citation statements)

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“…For slow variations of the channel, periodic training sequences can be transmitted to update the equalizer and shaping filters via an adaptive update algorithm (cf. [19]). For very gradually changing channels, decision-directed updates should suffice, obviating the need for a training sequence.…”

Section: Transmission Modelmentioning

confidence: 99%

A simple baseband transmission scheme for power line channels

Hormis

Berenguer

Wang

2006

IEEE J. Select. Areas Commun.

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We propose a simple PAM-based coded modulation scheme that overcomes two major constraints of power-line channels, viz., severe insertion-loss and impulsive noise.The scheme combines low-density parity-check (LDPC) codes, along with cyclic randomerror and burst-error correction codes to achieve high spectral efficiency, low decoding complexity, and a high degree of immunity to impulse noise. To achieve good performance in the presence of inter-symbol interference (ISI) on static or slowly timevarying channels, the proposed coset-coding is employed in conjunction with TomlinsonHarashima precoding and spectral shaping at the transmitter. In Gaussian noise, the scheme performs within 2 dB of un-shaped channel capacity (the sphere-bound) at a BER of 10 −11 , even with simple regular LDPC codes of modest length (1000-2000 bits). To mitigate errors due to impulse noise (a combination of synchronous and asynchronous impulses), a multi-stage interleaver is proposed, each stage tailored to the error-correcting property of each layer of the coset decomposition. In the presence of residual ISI, colored Gaussian noise, as well as severe synchronous and asynchronous impulse noise, the gap to Shannon-capacity of the scheme to a Gaussian-noise-only channel is 5.5 dB at a BER of 10 −7 .

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Section: Transmission Modelmentioning

confidence: 99%

A simple baseband transmission scheme for power line channels

Hormis

Berenguer

Wang

2006

IEEE J. Select. Areas Commun.

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“…Since can be assumed statistically independent and identically distributed (i.i.d.) with the same power, (4) can be rewritten as [13] (5)…”

Section: A Multiple Subequalizer In the Downlinkmentioning

confidence: 99%

“…The coefficient can be obtained by substituting (7) into (5) as a function of the channel correlation and noise characteristics. It can be shown that (refer to Appendix) (10) where denotes the convolution process and for for for (11) Here, is the channel correlation function defined by for (12) and is the impulse train defined by for (13) Note that cannot be expressed in a closed form, due to the involved convolution process. However, note that discrete samples of are required to calculate the coefficient in digital implementation.…”

Section: A Multiple Subequalizer In the Downlinkmentioning

confidence: 99%

Design of Multiple MMSE Subequalizers for Faster-Than-Nyquist-Rate Transmission

Lee

2004

IEEE Trans. Commun.

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Abstract-We consider an equalization problem when the transmitted symbol rate is higher than the available channel bandwidth. This situation can happen in the uplink of the voiceband pulse-code modulation (PCM) modems whose transmit signal bandwidth is larger than the available channel bandwidth. Although the use of a minimum mean-squared error (MMSE) pre-equalizer is considered in the International Telecommunications Union (ITU)-T V.92 Recommendation, it may not provide an acceptable performance unless the channel condition is mild. As another approach to this problem, we consider the use of a bank of subequalizers, each of which compensates the part of the channel distortion, enabling the PCM-mode transmission over the channel where the V.92 scheme may fail. In this paper, a multiple subequalizer scheme is optimally designed in the MMSE sense, and its performance is compared with the MMSE pre-equalizer of V.92 in terms of the bit-rate-normalized signal-to-noise ratio.Index Terms-Equalizer, faster-than-Nyquist signaling, minimum mean-squared error (MMSE).

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“…As a result, a number of complex systems have been developed. Partial-Response Signaling (PRS) [I ,2,3] and Trellis-Coded Modulation (TCM) [4,5] are two methods promising increased performance over bandlimited channels, thus allowing higher data rates through the channel or better performance in the same channel. This paper will investigate the performance of relatively simple implementations of each of these techniques -a QPSK PRS and an 8PSK TCM systemin channels of different bandwidths.…”

Section: Introductionmentioning

confidence: 99%

“…where Q(x) is the complimentary error function, Eb is the energy per bit and No is the single-sided power spectral density of the AWGN [5].…”

Section: Introductionmentioning

confidence: 99%

A comparison of modulation schemes in bandlimited AWGN channels

Wolcott

Osborne

Proceedings of MILCOM '95

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In recent years, as data rates rise for seemingly decreasing available bandwidths, a great deal of research has been directed toward finding bandwidth efficient modulation schemes. Two such methods are Partial-Response Signaling and Trellis-Coded Modulation. Both of which promise performance gains in a bandlimited channel when compared to uncoded systems. This paper will compare the performance of these schemes, when applied to a QPSK system over various channel bandwidths. IntroductionAs data rate demands increase, the need for bandwidth efficient modulation schemes has driven a great deal of research. As a result, a number of complex systems have been developed. Partial-Response Signaling (PRS) [I ,2,3] and Trellis-Coded Modulation (TCM) [4,5] are two methods promising increased performance over bandlimited channels, thus allowing higher data rates through the channel or better performance in the same channel. This paper will investigate the performance of relatively simple implementations of each of these techniques -a QPSK PRS and an 8PSK TCM systemin channels of different bandwidths. By doing so, it will be determined whether or not these implementations live up to their promised performance gains.Bit error rates are estimated through baseband Monte Carlo simulation using the Signal Processing Worksystem@ (SPWTM) software package. Each system compared transmits at a rate of two information bits per channel symbol. Channel bandwidth is specified by a 6th order Butterworth filter without phase-equalization. Simulations are performed with no bandlimiting and at bandwidths equal to 3, 1.5 and 1.0 times the symbol rate, generating varying degrees of ISI.Both modulation schemes transmit symbols representing two data bits. Therefore, their performance will be judged for equal symbol rates -equal information rates -over channels of equal bandwidth. For comparison purposes, the performance of an uncoded

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Data Communications Principles

Cited by 253 publications

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A simple baseband transmission scheme for power line channels

A simple baseband transmission scheme for power line channels

Design of Multiple MMSE Subequalizers for Faster-Than-Nyquist-Rate Transmission

A comparison of modulation schemes in bandlimited AWGN channels

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