DocumentCode
2214798
Title
A reduced-state SISO algorithm for multilevel modulation in turbo equalization
Author
Magarini, M. ; Reggiani, L. ; Spalvieri, A.
Author_Institution
Dipartimento di Elettronica e Informazione, Politecnico di Milano, Italy
Volume
2
fYear
2004
fDate
5-8 Sept. 2004
Firstpage
791
Abstract
Turbo equalization is an iterative equalization decoding scheme for detecting encoded data transmitted over channels that introduce intersymbol interference. In such a scheme, the complexity of the optimal soft-input soft-output (SISO) equalizer, which implements the BCJR a posteriori probability computation algorithm, is one of the major concerns. We extend the reduced state sequence detection (RSSD) algorithm to a BCJR-SISO equalizer matched to a non binary modulation. The resulting reduced-state SISO (RS-SISO) algorithms can take full advantage from the flexibility offered by RSSD in reducing the number of trellis states. However, extension of RSSD algorithm for obtaining the RS-SISO equalizers requires attention in the recombination procedure of the forward and backward metrics.
Keywords
channel coding; computational complexity; equalisers; filtering theory; intersymbol interference; iterative decoding; modulation; probability; telecommunication channels; trellis codes; turbo codes; computational complexity; double prefiltering; intersymbol interference; iterative equalization decoding scheme; multilevel modulation; posteriori probability computation algorithm; recombination procedure; reduced state sequence detection algorithm; reduced-state SISO algorithm; soft-input soft-output equalizer; trellis code; turbo equalization; AWGN; Detectors; Equalizers; Filtering; Frequency; Interleaved codes; Intersymbol interference; Iterative algorithms; Iterative decoding; Maximum likelihood detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Personal, Indoor and Mobile Radio Communications, 2004. PIMRC 2004. 15th IEEE International Symposium on
Print_ISBN
0-7803-8523-3
Type
conf
DOI
10.1109/PIMRC.2004.1373808
Filename
1373808
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