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基于智能处理的融合定位解算算法

Intelligent Processing Based Fusion Location Solution Algorithm
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摘要 对基于数据融合的定位解算算法进行了研究,在将遗传算法、模拟退火算法和经典的Chan氏算法性能比较的基础上,将遗传算法与模拟退火算法相结合,提出了基于数据融合的定位解算算法。仿真结果表明:融合算法的定位精度优于非融合算法,且运算量较小。 A location solution algorithm is studied based on data fusion. With the comparison of Genetic Algorithm, Simulated Annealing Algorithm with Chan, this article proposes a location solution algorithm based on data fusion through combining Genetic Algorithm with Simulated Annealing Algorithm. Simulation results show that the location accuracy of fusion algorithm is better than the nonfusion algorithm, and the requised calculation gets less.
出处 《信息工程大学学报》 2009年第4期506-508,共3页 Journal of Information Engineering University
关键词 模拟退火 METROPOLIS准则 遗传算法 数据融合 SA (simulated annealing) Metropolis rule GA (genetic algorithm) data fusion
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