NDLI: Analysis and results on optimized MIMO detection with threshold-based adaptive cancellation

Content Provider	IEEE Xplore Digital Library
Author	Boronka, A. Speidel, J.
Copyright Year	2004
Description	Author affiliation: Inst. of Telecommun., Stuttgart Univ., Germany (Boronka, A.; Speidel, J.)
Abstract	We present an analysis of, and improved results for, a recently presented algorithm for detection of the received signal of an encoded wireless MIMO system. The method is based on a BLAST algorithm with successive interference cancellation, which is now applied in an adaptive manner based on some threshold decision. Therefore, reliability information on bits is extended to symbol reliability. The principle idea of this method is not restricted to specific receiver designs, but can be applied to any receiver with symbol interference cancellation. We use the threshold criterion to improve cancellation and present three methods to obtain the optimum threshold. One is an exact analytical approach; the second is based on an EXIT chart technique; the third is a rule of thumb stemming from some simulation observations. To have a fair comparison, we also introduce a so called genie-threshold receiver, analogous to the known genie detector. As a result, we obtain an SNR gain of up to 1 dB. Furthermore, by applying this scheme to a very low complexity iterative structure, we achieve a turbo cliff for a full rate 6/spl times/6 16-QAM system at 8.3 dB, which is, to our knowledge, unreached by MIMO systems with comparable low complexity.
Starting Page	814
Ending Page	818
File Size	355935
Page Count	5
File Format	PDF
ISBN	0780382552
ISSN	15502252
DOI	10.1109/VETECS.2004.1388942
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-05-17
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MIMO Interference cancellation Receiving antennas Adaptive signal detection Detectors Adaptive equalizers AWGN Electronic mail Signal analysis Algorithm design and analysis
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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