Title :
Complex sinusoid frequency estimation at very low SNR
Author_Institution :
Motorola India Electron. (Pvt) Ltd., Bangalore, India
Abstract :
A frequency estimator for complex sinusoids in white noise is proposed for a very low SNR scenario. This algorithm possesses the computational simplicity of a discrete Fourier transform (DFT) and the resolution advantages of signal eigenvector methods. Asymptotic expressions are derived to explain the behaviour of the estimator for high and low SNR. Simulation results shows that the estimator provides reasonably good estimates even at lower SNR as compared to the existing techniques
Keywords :
frequency estimation; spectral analysis; white noise; algorithm; complex sinusoid frequency estimation; discrete Fourier transform; signal eigenvector methods; simulation; spectral estimation; very low SNR; white noise; Computational modeling; Covariance matrix; Discrete Fourier transforms; Filtering algorithms; Frequency estimation; Iterative algorithms; Maximum likelihood estimation; Signal resolution; Signal to noise ratio; White noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.480042
