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Fabrizio Conti

dblp:57/11150 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1997
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Physical-layer communications · 92% Cellular and mobile networks · 8%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › channel estimation
adaptive channel estimation
0.011997
A continuously adaptive MLSE receiver for mobile communications: algorithm and performance · IEEE Trans. Commun. 1997
Physical-layer communications
equalization
0.011997
A continuously adaptive MLSE receiver for mobile communications: algorithm and performance · IEEE Trans. Commun. 1997
Physical-layer communications › signal detection › sequence estimation
maximum-likelihood sequence estimation
0.011997
A continuously adaptive MLSE receiver for mobile communications: algorithm and performance · IEEE Trans. Commun. 1997
Cellular and mobile networks › mobile networks
GSM
0.011997
A continuously adaptive MLSE receiver for mobile communications: algorithm and performance · IEEE Trans. Commun. 1997
Physical-layer communications › wireless channel
mobile radio channel
0.011997
A continuously adaptive MLSE receiver for mobile communications: algorithm and performance · IEEE Trans. Commun. 1997

Methods — techniques the papers use, named apart from their topics

viterbi algorithm · 0.0adaptive filtering · 0.0
YearPublicationVenuePosition
1997 A continuously adaptive MLSE receiver for mobile communications: algorithm and performance
abstract
The paper presents a Euclidean distance maximum likelihood sequence estimation (MLSE) receiver, based on the Viterbi algorithm (VA), suitable for fading and noisy communications channels, as that specified by the Group Special Mobiles (GSM). In a mobile cellular system, the fast varying channel characteristics, due to the fading and Doppler effects, require adaptive methods to update the channel coefficients to the MLSE receiver. The proposed technique continuously estimates the channel characteristics directly within the metric calculation of the VA. At each step of the VA, the sequence associated to the path with the best metric value (minimum-survivor method) among the survivor paths is used to update the channel estimate (employing conventional adaptive algorithms) throughout the entire informative sequence. However, the detection of the transmitted data sequence is performed by the VA only at the end of each burst. The proposed technique allows simpler receiver implementation and the simulation results show a good performance of this adaptive MLSE receiver in typical GSM environments.
Guido Castellini, Fabrizio Conti, Enrico Del Re, Laura Pierucci
IEEE Trans. Commun.2
1992 A within-burst adaptive MLSE receiver for mobile TDMA cellular systems
abstract
A simplified structure concerning the implementation of an adaptive digital receiver suitable for the pan-European cellular system Group Special Mobile (GSM) is described. In the GSM system, the performance of the received information is strongly affected by the multipath typical of the mobile communications channel. The proposed maximum-likelihood sequence estimation (MLSE) receiver based on the Viterbi algorithm compensates for selective distortion due to the multipath propagation and Doppler shift also in the case of fast channel variations using an adaptive tracking mode method.>
Enrico Del Re, Guido Castellini, Laura Pierucci, Fabrizio Conti
ICASSP4