DocumentCode
379494
Title
Polynomial-complexity, adaptive symbol-by-symbol soft-decision algorithms with application to non-coherent detection of LDPCC
Author
Motedayen, Idin ; Anastasopoulos, Achilleas
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Volume
3
fYear
2002
fDate
2002
Firstpage
1677
Abstract
Iterative decoding in the presence of unknown channel parameters requires the generation of symbol-by-symbol soft-decision metrics (SbSSDMs), jointly with parameter estimation. Traditional methods for the exact evaluation of these metrics have exponential complexity with the length of the data sequence. In this paper, a class of problems is identified, for which the exact SbSSDMs can be obtained with only polynomial complexity with the data sequence length. The applicability of this technique is demonstrated by considering the problem of iterative detection of low-density parity-check codes in the presence of unknown and time-varying carrier-phase offset.
Keywords
adaptive signal detection; computational complexity; error detection codes; iterative decoding; parameter estimation; polynomials; LDPCC; adaptive symbol-by-symbol soft-decision algorithms; channel parameters; data sequence length; exact SbSSDM; exponential complexity; iterative decoding; low-density parity check; low-density parity-check codes; noncoherent detection; of iterative detection; parameter estimation; polynomial complexity; symbol-by-symbol soft decision metrics; time-varying carrier-phase offset; Application software; Computer science; Concatenated codes; Detection algorithms; Iterative algorithms; Iterative decoding; Parameter estimation; Parity check codes; Polynomials; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2002. ICC 2002. IEEE International Conference on
Print_ISBN
0-7803-7400-2
Type
conf
DOI
10.1109/ICC.2002.997134
Filename
997134
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