Asymptotically optimal ranking algorithms for quasideterminate signal detection
Abstract
The structure of an asymptotically optimal ranking algorithm for quasideterminate signal detection in which the signal has a constant component, the distribution density of the interference of a known type, and the constant component and intensity of fluctuations of the interference unknown are synthesized. Conditions for optimality are defined and analytical expressions for the detection characteristic are obtained. The asymptotic effectiveness of ranking algorithms for cases in which the actual received signal and interference density differ from the expected models was established. The findings relate to quasideterminate signals which are represented as expansions with respect to an orthonormal system of functions with random parameters uniformly distributed on a hypersphere.
 Publication:

USSR Rept Electron Elec Eng JPRS UEE
 Pub Date:
 September 1984
 Bibcode:
 1984RpEEE.......12B
 Keywords:

 Algorithms;
 Asymptotic Series;
 Radio Frequency Interference;
 Ranking;
 Signal Detection;
 Antenna Radiation Patterns;
 Distribution (Property);
 Hyperspheres;
 Communications and Radar