An Efficient Statistical Pruning Algorithm for Fixed-Complexity Sphere Decoder

Sheng LEI; Xin ZHANG; Cong XIONG; Dacheng YANG

doi:10.1587/transcom.E94.B.834

Regular Section

An Efficient Statistical Pruning Algorithm for Fixed-Complexity Sphere Decoder

Sheng LEI, Xin ZHANG, Cong XIONG, Dacheng YANG

Author information

Keywords: MIMO, maximum likelihood decoder (MLD), fixed-complexity sphere decoder (FSD), statistical pruning

JOURNAL RESTRICTED ACCESS

2011 Volume E94.B Issue 3 Pages 834-837

DOI https://doi.org/10.1587/transcom.E94.B.834

Details

Abstract

We create an efficient statistical pruning (SP) algorithm for fixed-complexity sphere decoder (FSD) by utilizing partial decision feedback detection (i.e., SP-FSD). Simulation results show that SP-FSD not only attains the near-optimal performance, but also achieves much lower complexity than the original FSD and its two lately-developed variants: the simplified FSD (SFSD) and the statistical threshold-based FSD (ST-FSD).

Corresponding author

Register with J-STAGE for free!