Presentation 2012-03-08
Complexity Reducing QRD-MLD with Threshold Method based on the Estimated Noise Variance
Tomoki YOSHIMURA, Yuta IDA, Chang-Jun AHN, Tatsuya OMORI, Ken-ya HASHIMOTO,
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Abstract(in English) In MIMO systems, maximum likelihood decoding (MLD) shows the best performance of all kinds of detection. However, the complexity of MLD exponentially increases with the number of antenna branches and the constellation size. Accordingly, it is impracticed to use a full MLD without reducing its computational complexity, because it would be prohibitively large to implement. Recently, the use of QR decomposition with an M-argorithm(QRM-MLD) has been proposed to reduce the system complexity while maintaining the performance of the system. However, QRM-MLD performance depends on the surviving symbol replica candidates. To reduce this problem, in this paper, we propose the complexity reducing QRD-MLD with threshold method using the estimated noise variance. The proposed algorithm with the ranking of all branch metrics shows the superior performance while maintaining the low complexity. From the simulation results, the proposed method achieves 1/10 complexity reduction compared with full MLD for the threshold index k_=3.5.
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Keyword(in English) MIMO-OFDM / MLD / QR decomposition
Paper # CAS2011-123,SIP2011-143,CS2011-115
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Committee CAS
Conference Date 2012/3/1(1days)
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Registration To Circuits and Systems (CAS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Complexity Reducing QRD-MLD with Threshold Method based on the Estimated Noise Variance
Sub Title (in English)
Keyword(1) MIMO-OFDM
Keyword(2) MLD
Keyword(3) QR decomposition
1st Author's Name Tomoki YOSHIMURA
1st Author's Affiliation Faculty of Engineering, Chiba University()
2nd Author's Name Yuta IDA
2nd Author's Affiliation Faculty of Information science, Hiroshima City University
3rd Author's Name Chang-Jun AHN
3rd Author's Affiliation Faculty of Engineering, Chiba University
4th Author's Name Tatsuya OMORI
4th Author's Affiliation Faculty of Engineering, Chiba University
5th Author's Name Ken-ya HASHIMOTO
5th Author's Affiliation Faculty of Engineering, Chiba University
Date 2012-03-08
Paper # CAS2011-123,SIP2011-143,CS2011-115
Volume (vol) vol.111
Number (no) 465
Page pp.pp.-
#Pages 4
Date of Issue