Title :
Estimating the frequencies of sinusoids at low signal to noise ratios using the principal component method in tandem with the Burg algorithm
Author :
Rao, Sathyanarayan S. ; Raghavan, K.R.
Author_Institution :
Dept. of Electr. Eng., Villanova Univ., PA, USA
Abstract :
The problem of estimating sinusoidal frequencies at low signal-to-noise ratios (SNRs) is considered. The principal component (PC) method has a threshold SNR of about 7 dB. A lowering of this threshold can be achieved if the PC method is cascaded with the Burg algorithm. The reduction is due to the elimination of noise from the noisy data vector, by projecting it on to signal subspace. Simulation results are presented that demonstrate the improvement in performance at low SNRs
Keywords :
signal processing; Burg algorithm; SNR; frequency estimation; low signal to noise ratios; noise elimination; noisy data vector; performance; principal component method; signal subspace; simulation; sinusoidal frequencies; Acoustic reflection; Equations; Filters; Frequency estimation; Noise reduction; Recursive estimation; Signal to noise ratio; Sonar applications; Underwater acoustics; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.266903
