Abstract
The binary detection problem is considered. Under an arbitrary noise environment, the input sample space can be transformed into a multinomial vector. Based on observations of this vector, the Ney-man-Pearson optimal detector is developed for a known signal. When the signal strength is unknown, the likelihood ratio principle is followed to obtain consistent tests which use the Pearson's chi-square statistic. The resulting detectors are compared to others in terms of asymptotic relative efficiency under some actual noise distributions.
Original language | English (US) |
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Pages (from-to) | 288-297 |
Number of pages | 10 |
Journal | IEEE Transactions on Aerospace and Electronic Systems |
Volume | AES-19 |
Issue number | 2 |
DOIs | |
State | Published - Mar 1983 |
ASJC Scopus subject areas
- Aerospace Engineering
- Electrical and Electronic Engineering