DocumentCode
1894947
Title
Soft-output sequential algorithm for signal estimation over frequency selective fading channel
Author
Tungsrisaguan, E. ; Rajatheva, R.M.A.P.
Author_Institution
Telecommun. Program, Asian Inst. of Technol., Pathumthani, Thailand
Volume
2
fYear
2001
fDate
2001
Firstpage
1241
Abstract
The performance of the receiver in digital mobile radio systems can be improved if the equalizer delivers the reliability information to the channel decoder. The soft-output Viterbi algorithm (SOVA) is well known for this application. However, for long channel memory, SOVA becomes impractical due to the exponential increase in computational complexity. On the other hand, the sequential estimation algorithms can be applied since the computational complexity is independent of the channel memory. This paper presents a soft-output sequential algorithm (SOSA) for estimation of signal transmitted over frequency selective fading channel. SOSA generates the soft-output information by applying the likelihood post-processing technique after each decoded block of symbols. Simulation results show that SOSA can achieve performance gain over the conventional maximum-likelihood sequence estimation (MLSE) and that its performance approaches SOVA as the signal-to-noise ratio increases. Other possible applications of SOSA are also mentioned
Keywords
Viterbi decoding; computational complexity; digital radio; equalisers; fading channels; land mobile radio; radio receivers; sequential estimation; MLSE; SIR; SOSA; SOVA; channel decoder; computational complexity; digital mobile radio systems; equalizer; frequency selective fading channel; likelihood post-processing; long channel memory; maximum-likelihood sequence estimation; receiver; reliability information; sequential estimation algorithms; signal estimation; signal-to-noise ratio; simulation results; soft-output Viterbi algorithm; soft-output sequential algorithm; Computational complexity; Computational modeling; Equalizers; Fading; Frequency estimation; Land mobile radio; Maximum likelihood decoding; Maximum likelihood estimation; Receivers; Viterbi algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 2001. GLOBECOM '01. IEEE
Conference_Location
San Antonio, TX
Print_ISBN
0-7803-7206-9
Type
conf
DOI
10.1109/GLOCOM.2001.965684
Filename
965684
Link To Document