摘要
通过分析用于室内定位的传统Monte Carlo算法存在的问题,对Monte Carlo定位算法更新模型进行了改进。改进算法具有更有效的采样、更强的稳定性、更少的计算量等优势。通过试验发现改进算法比传统算法具有更高的定位精度。
In this paper, problem existing in the Monte Carlo localization algorithm in the indoor is analyzed, the renewal model of Monte Carlo localization algorithm is improved. Compared to the Monte Carlo localization algorithm, modified algorithm has advantages in effective sampling, greater stability and less computational. From test and analysis, the modified algorithm has higher Positioning preci- sion than the Monte Carlo localization algorithm.
出处
《河北省科学院学报》
CAS
2011年第4期53-56,共4页
Journal of The Hebei Academy of Sciences
