Threshold detection in narrow-band non-Gaussian noise
Abstract
The Middleton Class A narrow-band non-Gaussian noise model is examined. It is shown that this noise model (which is known to fit closely a variety of non-Gaussian noises) can itself be closely approximated by a computationally much simpler noise model. It is then shown by numerical examples that, for the problem of locally optimum detection, the simplest form of this approximation yields nearly optimal (asymptotic) performance. The performance of other simple suboptimal threshold detectors in Class A noise is also examined. Finally, a useful relationship between the Class A model and the epsilon-mixture model is developed.
- Publication:
-
IEEE Transactions on Communications
- Pub Date:
- February 1984
- Bibcode:
- 1984ITCom..32..134V
- Keywords:
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- Communication Theory;
- Electromagnetic Noise;
- Signal Detection;
- Thresholds;
- Approximation;
- Mathematical Models;
- Narrowband;
- Nonlinear Systems;
- Probability Density Functions;
- Communications and Radar