The Theory of Detection in Incompletely Characterized Non-Gaussian Noise
Rept. no. 2, Aug 1984-Jul 1985
RHODE ISLAND UNIV KINGSTON DEPT OF ELECTRICAL ENGINEERING
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The problem of detecting a signal known except for amplitude in non- Gaussian noise is addressed. The noise samples are assumed to be independent and identically distributed with a probability density function known except for a few parameters. Using a generalized likelihood ratio test it is proven that for a symmetric noise probability density function the detection performance is asymptotically equivalent to that obtained for a detector designed with a priori knowledge of the noise parameters. A computationally more efficient but equivalent test is proposed and a computer simulation performed to illustrate the theory. Keywords Electrical engineering.
- Radiofrequency Wave Propagation