Equalization of satellite mobile communication channels using combined self-organizing maps and RBF networks

Bouchired, S.; Ibnkahla, Mohamed; Roviras, Daniel; Castanié, F.

doi:10.1109/icassp.1998.679589

Cited by 14 publications

(17 citation statements)

References 9 publications

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“…The model of the satellite communication channel depicted in Figure 1 is roughly the same as the one considered for various problems dealing with TWT amplifiers devices (cf., e.g., [2]). The different stages of this communication channel are detailed below.…”

Section: Modeling Of the Transmission Modelmentioning

confidence: 98%

“…The parameters (α a , β a , α p , β p ) of the TWT amplifier are supposed to be independent of other variables of the system and also to be mutually independent. From the values introduced in Table 1, an adequate prior distribution is [2,10] . (24) The extremal values of the downlink transmission noise variance σ r can be estimated with respect to prior ranges of values defined above.…”

Section: Estimation With Unknown Parametersmentioning

confidence: 99%

“…The devices used for this purpose are modeled by Chebyshev filters. Tuning of their parameters is given in [2], for instance. In the present case, filters at the input and at the output of the amplifier are assumed to have bandwidths equal, respectively, to 2/T and 3.3/T.…”

Section: Amplificationmentioning

confidence: 99%

“…The emission process is modeled by a Chebyshev filter. This class of filters admits an IIR representation and their parameters, particularly their cutoff frequency, depend on the value of symbol rate T [2]. A detailed introduction to Chebyshev filters is given in [25], for instance.…”

Section: Emission Stagementioning

confidence: 99%

“…These methods are based on a modelization of the nonlinearities using layers of perceptrons [2,3,4,5,6]. Most of these approaches require a learning or training input sequence for adapting the parameters of the equalization algorithm.…”

Section: Introductionmentioning

confidence: 99%

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Particle Filtering Equalization Method for a Satellite Communication Channel

Sénécal

Amblard

Cavazzana³

2004

EURASIP J. Adv. Signal Process.

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We propose the use of particle filtering techniques and Monte Carlo methods to tackle the in-line and blind equalization of a satellite communication channel. The main difficulties encountered are the nonlinear distortions caused by the amplifier stage in the satellite. Several processing methods manage to take into account these nonlinearities but they require the knowledge of a training input sequence for updating the equalizer parameters. Blind equalization methods also exist but they require a Volterra modelization of the system which is not suited for equalization purpose for the present model. The aim of the method proposed in the paper is also to blindly restore the emitted message. To reach this goal, a Bayesian point of view is adopted. Prior knowledge of the emitted symbols and of the nonlinear amplification model, as well as the information available from the received signal, is jointly used by considering the posterior distribution of the input sequence. Such a probability distribution is very difficult to study and thus motivates the implementation of Monte Carlo simulation methods. The presentation of the equalization method is cut into two parts. The first part solves the problem for a simplified model, focusing on the nonlinearities of the model. The second part deals with the complete model, using sampling approaches previously developed. The algorithms are illustrated and their performance is evaluated using bit error rate versus signal-to-noise ratio curves

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Section: Modeling Of the Transmission Modelmentioning

confidence: 98%

Section: Estimation With Unknown Parametersmentioning

confidence: 99%

Section: Amplificationmentioning

confidence: 99%

Section: Emission Stagementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Particle Filtering Equalization Method for a Satellite Communication Channel

Sénécal

Amblard

Cavazzana³

2004

EURASIP J. Adv. Signal Process.

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Fractionally spaced spatial adaptive equalization of S‐UMTS mobile terminals

Nordberg

Mohammed

Nordholm

et al. 2002

Adaptive Control & Signal

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In this paper we present fractionally spaced adaptive equalization techniques and space diversity combined receiver and evaluate their performance for the downlink of S-UMTS system. The conventional 'training' (or non-blind) and the 'unsupervised' (or blind) adaptive equalization algorithms are both investigated. Simulation results show that the equalizers are robust to Doppler shift and non-linearity effects due to TWT amplifiers aboard the satellite. It is also shown that even with a moderate array size of two antenna elements, a significant improvement in terminal performance is achieved.

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