传感技术学报2025，Vol.38Issue(1)：135-142,8.DOI:10.3969/j.issn.1004-1699.2025.01.017
基于LS-SVM步长智能判识的行人室内定位方法研究
Research on Pedestrian Indoor Positioning Method Based on LS-SVM Step Size Intelligent Identification
摘要
Abstract
Targeting at the accumulation of step error in pedestrian track calculation,an intelligent identification of pedestrian indoor posi-tioning method based on the least squares support vector machine is proposed.First,the three-axis acceleration sensor is fixed on the back of the subject's foot to collect the acceleration signal when walking.The acceleration signal is subjected to feature extraction and feature selection,and the selected acceleration signal feature set is divided into training set and test set,the training set is used to train the least squares support vector machine step length intelligent discrimination model,and the test set is used to test the accuracy of the model,iden-tify the pedestrian step length,and solve the trajectory of the traveler by combining azimuth and step point.The final experimental results show that the accuracy of step recognition is 96.72%,the average positioning error of pedestrians walking 720 m is 0.36 m,the maximum positioning error is 0.82 m,and the indoor positioning accuracy can reach 95.70%.The proposed method avoids the tedious calculation of step length and error accumulation,the positioning is fast and the accuracy is reliable.关键词
室内定位/三轴加速度/最小二乘支持向量机/特征提取Key words
indoor positioning/triaxial acceleration/least squares support vector machine/feature extraction分类
信息技术与安全科学引用本文复制引用
杨海,刘杰..基于LS-SVM步长智能判识的行人室内定位方法研究[J].传感技术学报,2025,38(1):135-142,8.基金项目
国家自然科学基金项目(52204013) （52204013）
