Paper Info
Title
An Hmm Soft-Output Decoder For Qam Signals With A Clustered Constellation
Abstract
This paper presents a new HMM soft-output decoder for QAM signals transmitted through narrow-band flat-fading channels, in the case where the signal constellation has points which are clustered into groups. Parallel HMM filters are used for QAM detection, with one filter for each group of constellation points. This greatly reduces the number of computations required. A Kalman Filter (KF) is then applied for channel estimation. The resulting adaptive algorithms appear as coupled KF and HMM filters. As well as having reduced computations, this approach does not require so called 'hard-decoding-decisions' to be made, which results in better robustness to noise.
Year
Venue
Field
1996
ISSPA 96 - FOURTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, PROCEEDINGS, VOLS 1 AND 2
Signal processing,Quadrature amplitude modulation,Pattern recognition,Computer science,QAM,Robustness (computer science),Kalman filter,Constellation diagram,Artificial intelligence,Decoding methods,Hidden Markov model
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
2
2
Name
Order
Citations
PageRank
IAIN B. COLLINGSt100.34
JOHN B. MOORE241284.61