DocumentCode :
2717895
Title :
Complexity-reduced decoding algorithm for unmodulated parallel-combinatory high-compaction multicarrier modulation signals
Author :
Hayashi, Ryuji ; Hamamura, Masanori
Author_Institution :
Kochi Univ. of Technol., Kami
fYear :
2008
fDate :
16-18 Dec. 2008
Firstpage :
49
Lastpage :
53
Abstract :
A new decoding algorithm that consists of two decoding stages to reduce the complexity of the maximum likelihood decoding for parallel combinatory high-compaction multi-carrier modulation is presented. The first decoding stage is in charge of a preliminary decision that coarsely searches the candidates using the QRD-M algorithm, and the second decoding stage is responsible for the final decision that recovers the message data using the candidates chosen in the first decoding stage. The proposed two-stage decoding algorithm is shown to be effective with respect to bit-error rate performance, with a small increase in computational complexity, compared to the one-stage decoding using the QRD-M algorithm.
Keywords :
computational complexity; error statistics; matrix decomposition; maximum likelihood decoding; modulation coding; QR matrix decomposition; QRD-M algorithm; bit-error rate; candidate search; complexity-reduced decoding algorithm; maximum likelihood decoding; parallel combinatory high-compaction multicarrier signal modulation; Bandwidth; Bit error rate; Computational complexity; Demodulation; Euclidean distance; Frequency division multiplexing; Interference; Maximum likelihood decoding; Multipath channels; OFDM modulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovations in Information Technology, 2008. IIT 2008. International Conference on
Conference_Location :
Al Ain
Print_ISBN :
978-1-4244-3396-4
Electronic_ISBN :
978-1-4244-3397-1
Type :
conf
DOI :
10.1109/INNOVATIONS.2008.4781717
Filename :
4781717
Link To Document :
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