Title
Signal Detection Using Log-Likelihood Ratio Based Sorting QR Decomposition for V-BLAST Systems
Abstract
In this paper, we propose a novel detection algorithm using log-likelihood ratio (LLR) to detect signals for V-BLAST systems. This algorithm utilizes the sorting QR decomposition (SQRD) of the channel matrix, and applies LLR to determine the order of detection. Simulation results show that the proposed LLR-based MMSE-SQRD algorithm provides a better performance than the conventional SNR-based MMSE-SQRD algorithm with a few additional computations. Approximately, the average BER performance of our algorithm is better than that of the conventional SNR-based MMSE-SQRD algorithm by 4 dB at 10-4 target BER.
Year
DOI
Venue
2007
10.1109/VETECS.2007.390
VTC Spring
Keywords
Field
DocType
channel matrix,matrix algebra,log-likelihood ratio,channel coding,sorting qr decomposition,v-blast systems,ber performance,space-time codes,error statistics,signal detection,noise cancellation,qr decomposition,transmitters,sorting,log likelihood ratio,matrix decomposition,bit error rate,detectors
Detection theory,Likelihood-ratio test,Computer science,Matrix decomposition,Electronic engineering,Sorting,Active noise control,QR decomposition,Computation,Bit error rate
Conference
ISSN
ISBN
Citations 
1550-2252
1-4244-0266-2
0
PageRank 
References 
Authors
0.34
1
4
Name
Order
Citations
PageRank
Hyun-Seok Lee124825.22
Hyoungsuk Jeon213312.95
Hoiyoon Jung3278.40
Hyuckjae Lee422730.68