Title :
A research based on adaptive genetic algorithm optimal embattling method
Author :
Ye-yang Pan ; Jin-jie Yao
Author_Institution :
Nat. Key Lab., North Univ. of China, Taiyuan, China
Abstract :
In the high-speed flight target positioning, the base stations´ locations influence the target localization accuracy directly. As the traditional base station layout positioning precision is not high, this paper proposes an optimal layout base station scheme which is bassd on adaptive genetic algorithm. The paper introduces the GA from the selection crossover and mutation operations, with the geometrical factor -GDOP as fitness function, end rsalizes the ground stations optimal layout. The simutulion results show that the scheme can optimize the base stations´ locations, and improve the positioning precision of high speed targets.
Keywords :
direction-of-arrival estimation; genetic algorithms; target tracking; GDOP; adaptive genetic algorithm; base station layout positioning precision; fitness function; geometrical factor; high-speed flight target positioning; mutation operation; optimal embattling method; optimal layout base station scheme; selection crossover operation; target localization; Biology; Encoding; Instruments; Adaptive genetic algorithm; Cloth station optimization; Ground base station; TDOA;
Conference_Titel :
Computer and Information Science (ICIS), 2014 IEEE/ACIS 13th International Conference on
Conference_Location :
Taiyuan
DOI :
10.1109/ICIS.2014.6912105