Classification of radar targets by means of multiple hypotheses testing
Abstract
The classification of targets using the theory of multiple hypotheses testing (MHT), a branch of the theory of statistical decision, is addressed. The basic mathematics of MHT are introduced, the scheme for classifying deterministic target signals is described, and the performance of the classifier for the case of target signal known completely a priori is discussed. The case of a target represented by the Swerling O model is considered, as is the case of a target modeled as a partially correlated Gaussian distributed random sequence. The problems of classifying hovering helicopters and of classification using a network of sensors are addressed.
- Publication:
-
Radar - 87; Proceedings of the International Conference
- Pub Date:
- 1987
- Bibcode:
- 1987rapr.conf...73F
- Keywords:
-
- Classifying;
- Radar Targets;
- Statistical Decision Theory;
- Target Recognition;
- Doppler Effect;
- Electromagnetic Interference;
- Helicopters;
- Hypotheses;
- Performance Prediction;
- Radar Cross Sections;
- Signature Analysis;
- Communications and Radar