Abstract
An adaptive detector which uses the EM algorithm ('E' for expectation, 'M' for maximize likelihood) in non-Gaussian noise environments is presented. It is shown that the adaptive detector is optimal for small signals and that it degrades smoothly toward the conventional linear detector as the signal-to-noise ratio increases. Performance of the EM algorithm and a CPFSK adaptive detector for Class A impulsive noise are reported.
| Original language | English |
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| Pages (from-to) | 610-615 |
| Number of pages | 6 |
| Journal | IEEE Vehicular Technology Conference |
| Publication status | Published - 1 Dec 1988 |
| Externally published | Yes |