Title :
Evaluating target discovery rate of AUV system
Author :
Zigang Cui ; Yingchun Chen ; Chang Li
Author_Institution :
Unit 91388, PLA, Zhanjiang 524022, China
Abstract :
The target discovery rate of AUV (Autonomous Underwater Vehicle) system is one of the most important attributes of operational effectiveness. Evaluating the attribute requires a big sample size. It not only takes a long time, but also costs much. In order to solve these problems, the statistical test method for the target discovery rate of AUV system is adopted, based on the operational principle of AUV system and the mathematical model of projection and guidance. The target discovery rate is calculated based on test data and simulation test. The method makes full of test data during simulation, thus can effectively measure the target discovery rate at a small sample size.
Keywords :
Autonomous underwater vehicle; Monte Carlo; operational effectiveness; target discovery rate;
Conference_Titel :
Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
Conference_Location :
Xiamen
Electronic_ISBN :
978-1-84919-537-9
DOI :
10.1049/cp.2012.1147