基于指纹算法的无线室内定位技术

doi:10.11959/j.issn.1000-0801.2016267

Abstract

Abstract:

As people's demand for location based service（LBS）is increasing, indoor localization has gradually becomes a hot research topic in the field of user location. And the fingerprint orientation is very much popular among most of the researchers, not only because it has high positioning accuracy and strong universality, but also because it doesn't need additional equipment. Firstly, the positioning principle of various kinds of main stream indoor location fingerprint positioning technology was summarized. Then the principle of the existing indoor localization algorithm and its developing condition at present were summarized. Finally, by setting up buildings channel test scenes, all kinds of typical indoor localization algorithm are testified, validated, compared and analyzed. The reference was provided for researchers and people who is researching on indoor location technology.

Key words: indoor localization, location fingerprint, positioning accuracy

Mengdan ZHANG,Guangyue LU,Honggang WANG,Jiming LIU. Wireless indoor localization technology based on fingerprint algorithm[J]. Telecommunications Science, 2016, 32(10): 77-86.

Figures/Tables 14

References 49

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算法	特点	匹配原则	位置估计	工作量	定位误差比较
NN	确定性指纹匹配算法	欧式距离最小	欧式距离最小的一个参考点的位置	大	精度低
KNN	确定性指纹匹配算法	欧式距离最小	欧式距离最小的K个参考点的位置平均值	大	精度稍高
WKNN	确定性指纹匹配算法	欧式距离最小	欧式距离最小的K个参考点的位置加权	大	精度高
SVM	机器学习方法	结构风险最小化原则	决策函数进行估计	小	精度很低
Bayes	概率型算法	贝叶斯定理	后验概率最大的指纹点	大	精度稍低

参数K的取值	定位误差/m
2	0.686 520
3	0.605 201
4	0.567 716
5	0.647 155

参数K的取值	定位误差/m
2	0.425 592
3	0.371 619
4	0.347 108
5	0.390 232

惩罚因子C	高斯核函数参数δ	定位误差/m
13.939	9.180	7.082 811
13.939	10.0	7.082 693
13.939	8.7	7.082 881
14.5	9.180	7.082 811
13.0	8.7	7.082 878

惩罚因子C	高斯核函数参数δ	维数	定位误差/m
13.939	9.180	4	7.078 543
13.939	10.0	4	7.078 190
13.939	8.7	4	7.078 776
14.5	9.180	4	7.078 537
13.0	8.7	4	7.078 786
13.939	9.180	6	7.082 811
13.939	10.0	6	7.082 694
13.939	8.7	6	7.082 881
14.5	9.180	6	7.082 812
13.0	8.7	6	7.082 878

Wireless indoor localization technology based on fingerprint algorithm

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Figures/Tables 14

References 49

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算法	惩罚因子C	高斯核函数参数	维数	k	定位误差/m
NN					0.828 407
KNN				4	0.567 716
WKNN				4	0.347 108
Bayes					0.795 174
LSSVM	13.939	9.180			7.079 509
LSSVM PCA	13.939	9.180	4		7.078 543

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