@article {Lampe2005Multiple-symbol,
title = {Multiple-symbol differential sphere decoding},
journal = {Communications, IEEE Transactions on},
volume = {53},
number = {12},
year = {2005},
month = {dec.},
pages = {1981 - 1985},
abstract = {In multiple-symbol differential detection (MSDD) for power-efficient transmission over Rayleigh 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 maximum-likelihood MSDD (ML-MSDD) quickly becomes computationally intractable as N grows. Mackenthun{\textquoteright}s low-complexity MSDD algorithm finds the ML estimate only for Rayleigh fading channels that are time-invariant over an N symbol period. For the general time-varying fading case, however, low-complexity ML-MSDD is an unsolved problem. In this letter, we solve this problem by applying sphere decoding (SD) to ML-MSDD for time-varying Rayleigh fading channels. The resulting technique is referred to as multiple-symbol differential sphere decoding (MSDSD).},
keywords = {channel coding, differential detection, maximum likelihood decoding, maximum-likelihood estimate, multiple-symbol differential sphere decoding, power-efficient transmission, Rayleigh channels, time-invariant channels, time-varying channels, time-varying Rayleigh fading channels},
issn = {0090-6778},
doi = {10.1109/TCOMM.2005.860092},
url = {http://dx.doi.org/10.1109/TCOMM.2005.860092},
author = {Lampe, L. and Schober, R. and Pauli, V. and Windpassinger, C.}
}