Title :
Optimal Acoustic Search Path Planning in Realistic Environments Based on Genetic Algorithm
Author :
Cho, Jung-Hong ; Kim, Jea-Soo ; Lim, Jun-Seok ; Kim, Seongil ; Kim, Young-Sun
Author_Institution :
Dept. of Ocean Dev. Eng., Korea Maritime Univ., Busan
Abstract :
The measure of effectiveness for detection of sonar system is directly related to the Cumulative Detection Probability (CDP) while its operation. In order to maximize CDP, there exists an optimal search path for given environment and sonar systems. Recently, with the advance of modeling and simulation methods, it has become possible to access the optimization problem more systematically. For this purpose, a program package named as OASPP (Optimal Acoustic Search Path Planning) was developed based on Genetic Algorithm (GA) and detection algorithm with environmental models. In this paper, the simulation results for a set of cases are presented and discussed, for which cases the intuitive solution are known.
Keywords :
genetic algorithms; oceanographic techniques; path planning; search problems; sonar detection; sonar signal processing; OASPP; cumulative detection probability; genetic algorithm; intuitive solution; optimal acoustic search path planning; realistic environments; sonar detection; Acoustical engineering; Biological cells; Genetic algorithms; Genetic engineering; Oceans; Path planning; Sea measurements; Sonar detection; Sonar measurements; Target tracking;
Conference_Titel :
OCEANS 2008 - MTS/IEEE Kobe Techno-Ocean
Conference_Location :
Kobe
Print_ISBN :
978-1-4244-2125-1
Electronic_ISBN :
978-1-4244-2126-8
DOI :
10.1109/OCEANSKOBE.2008.4531041
