DocumentCode
1803655
Title
Multi-base buoys passive localization research based on simulated annealing algorithm
Author
Gou, Yanni ; Wang, Yingmin ; Wang, Qi
Author_Institution
Coll. of Marine Eng., Northwestern Polytech. Univ., Xi´´an, China
fYear
2012
fDate
7-8 Sept. 2012
Firstpage
1
Lastpage
5
Abstract
Sonobuoy is one of the important equipments, which plays a great role in aviation anti-submarine. In modern anti-submarine warfare, multi-base buoys joint search potential way is often adopted for detecting position of underwater target, which wide the detective range of the apply tile submarine and improve the detective efficiency. More and more researchers have concerned this method because of its favorable invisibility. According to the trend of buoy technology, the simulated annealing algorithm, which has the ability of global optimization, was introduced into the nonlinear programming problem of underwater target´s localization. Firstly, a proper objective function for the system configuration of multi-base passive directed buoys (at first and) is built. Then the appropriate annealing and stop rules are debugged. Many simulation experiments were be analyzed about the positioning performance and convergence parameters of this algorithm. Experimental results illustrate that the objective function can converge to the optimum solution and find the best matched point to realize effective localization, and the feasibility of the simulated annealing algorithm in the multi-base buoys passive localization also is confirmed.
Keywords
military avionics; military equipment; military vehicles; object detection; simulated annealing; underwater vehicles; antisubmarine warfare; aviation antisubmarine; convergence parameters; global optimization; military equipment; multibase buoy passive localization research; nonlinear programming problem; positioning performance; proper objective function; simulated annealing algorithm; underwater target localization; underwater target position detection; Algorithm design and analysis; Annealing; Convergence; Linear programming; Markov processes; Simulated annealing; multi-base buoys; passive localization; simulated annealing algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Computing (ICAC), 2012 18th International Conference on
Conference_Location
Loughborough
Print_ISBN
978-1-4673-1722-1
Type
conf
Filename
6330550
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