DocumentCode
1633455
Title
Low complexity implementation of per-survivor processing for carrier-phase tracking in uncertain environments
Author
Safari, Nima ; Vahlin, Anders ; Lund, Sigurd A.
Author_Institution
Ceragon Networks, Bergen, Norway
fYear
2012
Firstpage
195
Lastpage
198
Abstract
Performance of Maximum Likelihood Sequence Estimation (MLSE) in receivers highly depends on the reliability of the channel parameters estimation. Traditionally, the channel parameters are estimated based on the tentative decisions before the MLSE detector. Per-survivor Processing (PSP) technique, as compared to traditional Viterbi algorithm, was shown to improve the performance of MLSE in uncertain environments. The PSP technique mainly comes from the idea that the estimation of unknown channel parameters can be embedded into the Viterbi decoder. The higher performance of the technique is achieved at the expense of higher complexity. In this paper we introduce a modification to the PSP algorithm to reduce the number of per-survivors and therefore the associated parameter updating modules. This modification was shown to lower the implementation complexity of the algorithm while keeping the performance at an acceptable level. The performance of phase tracking based on the PSP technique was also compared to traditional phase trackers through simulation.
Keywords
Viterbi decoding; maximum likelihood sequence estimation; MLSE detector; Viterbi algorithm; Viterbi decoder; carrier-phase tracking; channel parameters estimation; maximum likelihood sequence estimation; parameter updating modules; phase trackers; receivers; uncertain environments; Channel estimation; Complexity theory; Decoding; Maximum likelihood estimation; Measurement; Viterbi algorithm; Per-survivor processing; Trellis-coded modulation; Viterbi; channel parameters estimation; phase tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Radio and Wireless Symposium (RWS), 2012 IEEE
Conference_Location
Santa Clara, CA
ISSN
2164-2958
Print_ISBN
978-1-4577-1153-4
Type
conf
DOI
10.1109/RWS.2012.6175304
Filename
6175304
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