Title
Probabilistic Spherical Detection and VLSI Implementation for Multiple-Antenna Systems
Abstract
This paper presents a novel probabilistic spherical-detection (P-SD) method which applies the probabilistic-search algorithm to conventional depth-first SD (DF-SD). By confining the tree search into candidates which can be selected in an adaptive manner, a large number of promising candidates can be evaluated before termination. Consequently, the proposed P-SD improves the error performance of DF-SD with early termination, while retaining the hardware efficiency. An efficient VLSI architecture is proposed for implementation of the P-SD algorithm, and the results of the synthesized architecture are presented. The main advantage of P-SD is that it can fully exploit the state-of-the-art architectures of DF-SD, since it can be implemented by simply adding two functional blocks to conventional DF-SD. By analyzing the performance-complexity tradeoffs, it is concluded that our proposed P-SD is advantageous over conventional DF-SD and K-best algorithm, when the maximum-likelihood error performance is desired.
Year
DOI
Venue
2009
10.1109/TCSI.2008.2002544
Circuits and Systems I: Regular Papers, IEEE Transactions
Keywords
Field
DocType
CMOS integrated circuits,MIMO systems,VLSI,adaptive signal processing,maximum likelihood detection,CMOS integrated circuits,MIMO systems,VLSI,adaptive signal processing,depth-first spherical detection,maximum-likelihood error performance,multiple-antenna systems,probabilistic spherical detection,Adaptive signal processing,CMOS digital integrated circuits,maximum-likelihood (ML) detection,multiple-input–multiple-output (MIMO) systems
Forward error correction,Algorithm design,Computer science,MIMO,CMOS,Electronic engineering,Adaptive filter,Probabilistic logic,Throughput,Very-large-scale integration
Journal
Volume
Issue
ISSN
56
3
1549-8328
Citations 
PageRank 
References 
8
0.60
19
Authors
3
Name
Order
Citations
PageRank
Chester Sungchung Park180.60
Parhi, K.K.245258.92
Sin-Chong Park38022.58