摘要
为了获得更加准确的估计位置,对一种基于数据融合的定位解算算法进行了研究,在将模拟退火算法与经典的泰勒级数展开法和Chan氏算法进行性能比较的基础上,将模拟退火算法与上述两种经典的位置解算算法相结合,通过构造多算法协同定位模型,并基于该模型设计了融合定位算法,对传统定位解算算法进行改进,提出了一种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。
In order to achieve better precise estimated position, a position location solution algorithm is investigated based on data fusion. With the comparison of SA, Taylor and Chart, through combining simulated armealing algorithm with before-mentioned two classical algorithms, and multi-algorithm co-location model is constructed. Based on co-location model above, the estimation algorithm is designed. So, traditional positioning solver algorithms are improved, a position location solution algorithm based on data fusion is introduced. Simulation results show that the position location accuracy of fusion algorithm is better than that of non-fusion algorithm, and the computation is small.
出处
《计算机工程与设计》
CSCD
北大核心
2009年第21期4921-4923,4927,共4页
Computer Engineering and Design
基金
国家自然科学基金项目(60472064)
