<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Lampe, L.</style></author><author><style face="normal" font="default" size="100%">Schober, R.</style></author><author><style face="normal" font="default" size="100%">Pauli, V.</style></author><author><style face="normal" font="default" size="100%">Windpassinger, C.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multiple-symbol differential sphere decoding</style></title><secondary-title><style face="normal" font="default" size="100%">Communications, 2004 IEEE International Conference on</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">channel estimation</style></keyword><keyword><style  face="normal" font="default" size="100%">decoding</style></keyword><keyword><style  face="normal" font="default" size="100%">differential detection</style></keyword><keyword><style  face="normal" font="default" size="100%">fading channels</style></keyword><keyword><style  face="normal" font="default" size="100%">high-dimensional spaces</style></keyword><keyword><style  face="normal" font="default" size="100%">maximum likelihood estimation</style></keyword><keyword><style  face="normal" font="default" size="100%">maximum-likelihood estimation</style></keyword><keyword><style  face="normal" font="default" size="100%">multiple-symbol differential sphere decoding</style></keyword><keyword><style  face="normal" font="default" size="100%">power-efficient transmission</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2004</style></year><pub-dates><date><style  face="normal" font="default" size="100%">jun.</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1109/ICC.2004.1312609</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">2</style></volume><pages><style face="normal" font="default" size="100%">787 - 791 Vol.2</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In multiple-symbol differential detection (MSDD) for power-efficient transmission over fading channels without channel state information, blocks of N received symbols are jointly processed to decide on N - 1 data symbols. The search space for the maximum-likelihood (ML) estimate is therefore (complex) (N - 1)-dimensional, and MSDD quickly becomes computationally intractable as N grows. Sphere decoding (SD) is a widely used approach to find the ML estimate in such high-dimensional spaces. In this paper, we devise the application of SD to accomplish MSDD, and we refer to the resulting technique as multiple-symbol differential sphere decoding (MSDSD). We present an efficient algorithm for MSDSD, whose excellent performance versus complexity trade-off is verified by various simulation results and by comparisons with other, suboptimum approaches known from the literature.</style></abstract></record></records></xml>