Title :
A blind SNR estimation method for radar signals
Author :
Hong Shu Liao ; Lu Gan ; Ping Wei
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
Abstract :
A blind signal-to-noise ratio (SNR) estimation algorithm is proposed which is based on eigenvalue decomposition of the covariance matrix of received signal and the weighted- average information criterion (WIC). The algorithm can correctly estimate the SNR of linear frequency-modulated (LFM) signal and phase coding signal at low input SNR without prior information of the modulation type and it is insensitive to sample size. Simulation results show the MSE of estimated SNR is less than 0.5 dB for ranging from -10 dB to 10 dB.
Keywords :
covariance matrices; eigenvalues and eigenfunctions; radar signal processing; blind SNR estimation method; covariance matrix; eigenvalue decomposition; linear frequency-modulated signal; phase coding signal; radar signals; signal-to-noise ratio; weighted-average information criterion; SNR estimation; WIC criterion; eigenvalue decomposition;
Conference_Titel :
Radar Conference, 2009 IET International
Conference_Location :
Guilin
Print_ISBN :
978-1-84919-010-7
