Name
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 . |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/LSP.2011.2136378 | IEEE Signal Process. Lett. |
Keywords | Field | DocType |
fine doppler estimation,coarse frequency estimation,fine resolution frequency estimation,frequency estimation,dft,waveform analysis,fine search,radar signal processing,discrete fourier transforms,jacobsen estimator,complex exponential waveform parameter estimation,white noise,signal resolution,n-point dft,signal to noise ratio,estimation | Fine resolution,Nonlinear system,Euler's formula,White noise,Artificial intelligence,Estimation theory,Pattern recognition,Waveform,Signal-to-noise ratio,Algorithm,Statistics,Mathematics,Estimator | Journal |
Volume | Issue | ISSN |
18 | 6 | 1070-9908 |
Citations | PageRank | References |
42 | 2.36 | 4 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cagatay Candan | 1 | 82 | 10.38 |