Title :
Research on SNR Estimation Algorithm in FH System
Author :
Geng Chao ; Li Xin ; Liu Congcong ; Liu Wen
Author_Institution :
Dept. of Meas. & Commun. Eng., Harbin Univ. of Sci. & Technol., Harbin, China
Abstract :
In order to solve the problem of existing a large estimation error when using the current algorithm which based on the autocorrelation matrix eigenvalue decomposition to estimate the SNR of the short signal frame in the communication system, this paper proposes an improved blind SNR estimation algorithm. Based on the previous algorithm, it introduces an idea of re-constructing the autocorrelation matrix by using the model of discrete multi-channel. Simulation shows that the standard deviations of SNR estimation are less than 0.5dB which are 1.2dB in the previous algorithm when the SNR ranges from 0dB to 20dB. This is very important for practical implications, especially for the satellite communication. For the current satellite channel, if the baud rate of a burst signal is less than 2M, the 60MHz band pass acquisition card which is popular in life is sufficient to meet the requirement.
Keywords :
channel estimation; correlation methods; eigenvalues and eigenfunctions; matrix decomposition; satellite communication; signal reconstruction; wireless channels; FH system; autocorrelation matrix eigenvalue decomposition; autocorrelation matrix reconstruction; bandpass acquisition card; burst signal baud rate; discrete multichannel model; improved blind SNR estimation algorithm; satellite communication channel; signal to noise ratio; standard deviation; Correlation; Eigenvalues and eigenfunctions; Estimation; Matrix decomposition; Signal processing algorithms; Signal to noise ratio; SNR estimation; autocorrelation matrix eigenvalue decomposition; oversampling;
Conference_Titel :
Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2014 Fourth International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-6574-8
DOI :
10.1109/IMCCC.2014.141
