A multi-sensor management method based on information gain and ant colony algorithm

Author

Wang Ji ; Chen Wei ; Shui YiShui ; Li Dong

Author_Institution

Sch. of Inf. Eng., Wuhan Univ. of Technol., Wuhan, China

fYear

2015

fDate

25-28 June 2015

Firstpage

82

Lastpage

86

Abstract

In order to solve the target allocation problem in multi-sensor management, we proposed a multi-sensor multitarget allocation method with tracking ability as constraint. Basic idea of the method is to apply ant colony algorithm to efficiency function based on target information gain. According to the simulation results, the multi-sensor multi-target allocation method based on information gain and ant colony algorithm is effective, which can quickly generate reasonable and reliable allocation scheme. Compared with random allocation method, our method provides more overall performance improvement.

Keywords

ant colony optimisation; sensor fusion; ant colony algorithm; efficiency function; multisensor management; multisensor management method; multisensor multitarget allocation method; performance improvement; target allocation problem; target information gain; tracking ability; Acceleration; Algorithm design and analysis; Linear programming; Resource management; Signal processing algorithms; Target tracking; Time measurement; ant colony algorithm; information gain; multi-sensor management; target allocation;

fLanguage

English

Publisher

ieee

Conference_Titel

Transportation Information and Safety (ICTIS), 2015 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4799-8693-4

Type

conf

DOI

10.1109/ICTIS.2015.7232161

Filename

7232161