Paper Info
Title
Soft-Input Soft-Output Multiple Symbol Detection for Ultra-Wideband Systems
Abstract
A multiple symbol detection (MSD) algorithm is proposed relying on soft information for ultra-wideband systems, where differential space-time block code is employed. The proposed algorithm aims to calculate a posteriori probabilities (APP) of information symbols, where a forward and backward message passing mechanism is implemented based on the BCJR algorithm. Specifically, an MSD metric is analyzed and performed for serving the APP model. Furthermore, an autocorrelation sampling is employed to exploit signals dependencies among different symbols, where the observation window slides one symbol each time. With the aid of the bidirectional message passing mechanism and the proposed sampling approach, the proposed MSD algorithm achieves a better detection performance as compared with the existing MSD. In addition, when the proposed MSD is exploited in conjunction with channel decoding, an iterative soft-input soft-output MSD approach is obtained. Finally, simulations demonstrate that the proposed approaches improve detection performance significantly.
Year
DOI
Venue
2015
10.3837/tiis.2015.07.016
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
Keywords
Field
DocType
Differential space-time block code (DSTBC),ultra-wideband (UWB),multiple symbol detection (MSD),a posteriori probabilities (APP),soft-input soft-output (SISO)
BCJR algorithm,Computer science,Block code,A priori and a posteriori,Communication channel,Algorithm,Theoretical computer science,Sampling (statistics),Decoding methods,Message passing,Distributed computing,Autocorrelation
Journal
Volume
Issue
ISSN
9
7
1976-7277
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Chanfei Wang111.71
Hui Gao217530.27
Tiejun Lv366997.19