| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 563731 | Signal Processing | 2014 | 5 Pages |
Abstract
A method for the frequency estimation of complex exponential signals observed under additive white Gaussian noise is presented. Unlike competing methods based on relatively few Discrete Fourier Transform (DFT) samples, the presented technique can generate a frequency estimate by fusing the information from all DFT samples. The estimator is shown to follow the Cramer–Rao bound with a smaller signal-to-noise ratio (SNR) gap than the competing estimators at high SNR.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Umut Orguner, Çağatay Candan,