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International Conference on Systems and Networks Communication (ICSNC'06)
A Novel Blind SNR Estimator Based on the Modified PASTd Algorithm for IF Signals
Tahiti, French Polynesia
October 29-November 03
ISBN: 0-7695-2699-3
ASCII Text
x 
 
SUI Dan, GE Lindong, "A Novel Blind SNR Estimator Based on the Modified PASTd Algorithm for IF Signals," Systems and Networks Communication, International Conference on, pp. 45, International Conference on Systems and Networks Communication (ICSNC'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICSNC.2006.11,
author = {SUI Dan and GE Lindong},
title = {A Novel Blind SNR Estimator Based on the Modified PASTd Algorithm for IF Signals},
journal ={Systems and Networks Communication, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2699-3},
pages = {45},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICSNC.2006.11},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Systems and Networks Communication, International Conference on
TI - A Novel Blind SNR Estimator Based on the Modified PASTd Algorithm for IF Signals
SN - 0-7695-2699-3
SP
EP
A1 - SUI Dan,
A1 - GE Lindong,
PY - 2006
KW - null
VL - 0
JA - Systems and Networks Communication, International Conference on
ER -
 
SUI Dan, Zhengzhou Science and Technology Institute, China
GE Lindong, Zhengzhou Science and Technology Institute, China
A blind Signal-to-Noise Ratio (SNR) estimator based on the modified Projection Approximation Subspace Tracking deflation (PASTd) algorithm is proposed in this paper for Intermediate Frequency (IF) signals in the complex additive white Gaussian noise (AWGN) channel. Compared with the eigenvalue decomposition (ED)-based method, the proposed algorithm can achieve a more accurate estimation with a simple computational complexity. Simulations are performed for the commonly used IF signals. The results show that the performance of the algorithm is robust and when the true SNR is in the range from 5dB to 25dB the estimation bias is under 1dB and the corresponding standard deviation (STD) is within 0.3.
Citation:
SUI Dan, GE Lindong, "A Novel Blind SNR Estimator Based on the Modified PASTd Algorithm for IF Signals," icsnc, pp.45, International Conference on Systems and Networks Communication (ICSNC'06), 2006
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