Paper Info
Title
Channel and Noise Variance Estimation Improvement for PCP-SC System
Abstract
In this paper, we propose a simple but effective way to improve the performance of channel estimation and catch the noise variance for pilot cyclic prefixed single carrier (PCP-SC) system. The proposed method utilizes the property that the shift of PCP pilot signal can also be utilized to catch the channel information as a new pilot. Regardless of signal-to-noise ratio (SNR) and pilot type, the proposed method can achieve about 1.72 dB performance gain for mean squared error (MSE) of channel estimation with a slight additional computational complexity. In addition, regardless of pilot type, the receiver can generate a new random signal from the pilot signal. The new signal has an identical value of variance to that of the mixed AWGN noise. The proposed estimation method for the noise variance is independent of channel estimation errors. Therefore it simplifies the receiver design and improves the system performance.
Year
DOI
Venue
2010
10.1109/WCNC.2010.5506455
WCNC
Keywords
Field
DocType
pcp-sc system,awgn,communication complexity,pilot cyclic prefixed single carrier system,mean squared error,computational complexity,mse,interference suppression,channel estimation,mean square error methods,noise variance estimation,intersymbol interference,mean square error,gaussian noise,ofdm,system performance,signal generators,signal to noise ratio
Intersymbol interference,Computer science,Signal-to-noise ratio,Algorithm,Communication channel,Mean squared error,Real-time computing,Statistics,Gaussian noise,Additive white Gaussian noise,Orthogonal frequency-division multiplexing,Pilot signal
Conference
ISSN
ISBN
Citations 
1525-3511
978-1-4244-6396-1
0
PageRank 
References 
Authors
0.34
9
2
Name
Order
Citations
PageRank
Yafei Hou1194.47
Tomohiro Hase2411.51