Title :
SNR estimation method for colored-noise environments based on two-channel
Author :
Danping, Bai ; Qun, Wan ; Yan, Wang ; Jin, Jiang
Author_Institution :
University of Electronic Science & Technology of China, Chengdu
fDate :
Oct. 30 2007-Nov. 2 2007
Abstract :
In additive white Gaussian noise (AWGN) environments, signal-to-noise ratio (SNR) estimation can be easily obtained since the noise spectrum density is flat. However, the performance is degenerate when the noise is colored. A novel SNR estimation method based on two-channel model for colored-noise environments is proposed. We use the phase information from the two-channel model to obtain the signal bandwidth and calculate the signal energy in this bandwidth. Hence, the SNR can be estimated in colored-noise environments. The simulation shows that the novel method performs better than the method reported for colored- noise environments.
Keywords :
AWGN channels; bandwidth allocation; channel estimation; AWGN; SNR; SNR estimation method; additive white Gaussian noise; colored-noise environments; noise spectrum density; signal bandwidth; signal-to-noise ratio; two-channel model; AWGN channels; Additive white noise; Bandwidth; Colored noise; Delay effects; Erbium; Frequency estimation; Gaussian noise; Signal to noise ratio; Working environment noise;
Conference_Titel :
TENCON 2007 - 2007 IEEE Region 10 Conference
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-1272-3
Electronic_ISBN :
978-1-4244-1272-3
DOI :
10.1109/TENCON.2007.4428832
