Soft-output sphere decoding: Performanceand implementation aspects

Multiple-input multiple-output (MIMO) detection algorithms providing soft information for a subsequent channel decoder pose significant implementation challenges due to their high computational complexity. In this paper, we show how sphere decoding can be used as an efficient tool to implement soft-output MIMO detection with flexible trade-offs between computational complexity and (error rate) performance. In particular, we demonstrate that single tree search, ordered QR decomposition, channel matrix regularization, and log-likelihood ratio clipping are the key ingredients for realizing soft-output MIMO detectors with near max-log performance at a computational complexity that is reasonably close to that of hard-output sphere decoding.


Published in:
2006 Fortieth Asilomar Conference on Signals, Systems and Computers, Vols 1-5, 2071-2076
Presented at:
40th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, Oct 29-Nov 01, 2006
Year:
2006
Publisher:
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa
ISBN:
978-1-4244-0784-2
Keywords:
Laboratories:




 Record created 2011-06-06, last modified 2018-03-17


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