Title :
A Method For Fine Resolution Frequency Estimation From Three DFT Samples
Author_Institution :
Department of Electrical and Electronics Engineering, Middle East Technical University (METU), Ankara, Turkey
Abstract :
The parameter estimation of a complex exponential waveform observed under white noise is typically tackled in two stages. In the first stage, a coarse frequency estimate is found by the application of an N-point DFT to the input of length N . In the second stage, a fine search around the peak determined in the first stage is conducted. The method proposed in this paper presents a simpler alternative. The method suggests a nonlinear relation involving three DFT samples already calculated in the first stage to produce a real valued, fine resolution frequency estimate. The estimator approaches Jacobsen´s estimator for large N and presents a bias correction which is especially important for small and medium values of N .
Keywords :
"Discrete Fourier transforms","Signal to noise ratio","Frequency estimation","Jacobian matrices","Estimation","Radar signal processing"
Journal_Title :
IEEE Signal Processing Letters
DOI :
10.1109/LSP.2011.2136378