Detection of a harmonic signal on a background of stationary Gaussian correlated noise with unknown parameters according to the maximum-likelihood criterion
Abstract
The maximum-likelihood method is used to solve the problem of detecting a harmonic signal with an unknown complex amplitude on a background of stationary Gaussian correlated autoregression noise with unknown complex parameters. A solution rule of conditional maximum likelihood is obtained. The efficiencies of the maximum-likelihood rule and a rule based on the weighted discrete Fourier transformation are assessed.
- Publication:
-
Radiotekhnika i Elektronika
- Pub Date:
- March 1985
- Bibcode:
- 1985RaEl...30..512Z
- Keywords:
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- Background Noise;
- Correlation Detection;
- Maximum Likelihood Estimates;
- Random Noise;
- Signal Detection;
- Signal To Noise Ratios;
- Autoregressive Processes;
- Fourier Transformation;
- Harmonic Analysis;
- Communications and Radar