Journal Article10.1049/IP-I-2.1990.0058
Modelling and computationally efficient time domain linear equalisation of nonlinear bandlimited QPSK satellite channels
K. Konstantinides,K. Yao +1 more
- 01 Dec 1990
- Vol. 137, Iss: 6, pp 438-442
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TL;DR: A simple and computationally efficient time-domain design technique for the minimum mean square error linear equaliser is presented and results on the evaluations of bit error probability and other relevant parameters needed in the design and analysis of a nonlinear bandlimited QPSK system demonstrate the simplicity and computational efficiency of the proposed approach.
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Abstract: The problem of modeling and equalization of a nonlinear satellite channel is considered. The channel is assumed to be bandlimited and exhibits both amplitude and phase nonlinearities. In traditional models, computations are usually performed in the frequency domain and solutions are based on complex numerical techniques. A discrete time model is used to represent the satellite link with both uplink and downlink white Gaussian noise. Under conditions of practical interest, a simple and computationally efficient time-domain design technique for the minimum mean square error linear equalizer is presented. The efficiency of this technique is enhanced by the use of a fast and simple iterative algorithm for the computation of the autocorrelation coefficients of the output of the nonlinear channel. Numerical results on the evaluations of bit error probability and other relevant parameters needed in the design and analysis of a nonlinear bandlimited QPSK system demonstrate the simplicity and computational efficiency of the proposed approach.
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Citations
Uplink-noise limited satellite channels
T.J. Wolcott,William P. Osborne +1 more
- 07 Nov 1995
TL;DR: By mapping the ideal decision region through the nonlinearity, performance almost identical to that of a linear-wideband AWGN channel can be achieved.
The performance of MLSD receivers on nonlinear satellite channels
A. Gutierrez,William E. Ryan +1 more
- 23 Jun 1996
TL;DR: This paper evaluates the performance of maximum-likelihood sequence detection (MLSD) receivers for nonlinear bandlimited satellite channels which employ QPSK and 8-PSK modulation formats, and finds that the MFB-MLSD receiver gives a small performance loss compared to the AWGN channel.
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Equalization and detection for digital communication over nonlinear bandlimited satellite communication channels
Alberto Gutierrez
- 01 Dec 1995
TL;DR: Adapt Volterra equalizers on a downlink-limited nonlinear bandlimited satellite channel are studied and it is found that probability of error improvement is more significant for modulation schemes, constant amplitude and multilevel, which require higher signal to noise ratios for reliable operation.
Bounds and Simulation Results of 32-ary and 64-ary Quadrature Amplitude Modulation for Broadband-ISDN via Satellite
Muli Kifle,Mark J. Vanderaar +1 more
- 01 Feb 1994
TL;DR: This work serves as a precursor to determine the feasibility of a combined modem/codec that can accommodate Broadband Integrated Services Digital Network (B-ISDN) at a rate of 155.52 Mbps through typical transponder bandwidths of 36 MHz and 54 MHz.
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References
Maximum Likelihood Sequence Detection for QPSK on Nonlinear, Band-Limited Channels
V.K. Dubey,Desmond P. Taylor +1 more
TL;DR: It is shown that the performance of the suboptimum receiver is very close to that of the MLSE receiver, which is an extension of work done by Mesiya et al. for binary PSK transmission.
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A Decision Feedback Receiver Structure for Bandlimited Nonlinear Channels
N. Ekanayake,Desmond P. Taylor +1 more
TL;DR: A decision feedback receiver structure for receiving binary phase-shift keyed signals over bandlimited, nonlinear satellite channels, in the presence of both uplink and downlink additive Gaussian noise is derived.
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Spectral Analysis of Digital Messages Through Finite-Memory Transformations
TL;DR: The computation of the spectrum is based on a general matrix method for the spectral analysis of memoryless functions of Markov chains and is extended to the case in which the input sequence \{a_{n}\} is a stationary finite Markov chain.
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