Complex sinusoid frequency estimation at very low SNR
T. Ganesan · 2002
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.