中国惯性技术学报
中國慣性技術學報
중국관성기술학보
JOURNAL OF CHINESE INERTIAL TECHNOLOGY
2014年
4期
426-431
,共6页
重力轴%行人惯性导航%脊柱波%盲源分离
重力軸%行人慣性導航%脊柱波%盲源分離
중력축%행인관성도항%척주파%맹원분리
gravity axis%pedestrian inertial navigation spine wave%blind source separation
传感器的位置和方向对行人惯性导航的定位算法选择和定位结果有重要的影响。针对传感器位置和轴向不固定引起的步伐探测失真,引入重力轴拟合和盲源分离算法,提取出行走过程中反应脊柱运动的脊柱波。实验表明,在四种常见姿态下,以脊柱波代替单轴向加速度波进行步伐探测,可将错误率稳定在5%以下。
傳感器的位置和方嚮對行人慣性導航的定位算法選擇和定位結果有重要的影響。針對傳感器位置和軸嚮不固定引起的步伐探測失真,引入重力軸擬閤和盲源分離算法,提取齣行走過程中反應脊柱運動的脊柱波。實驗錶明,在四種常見姿態下,以脊柱波代替單軸嚮加速度波進行步伐探測,可將錯誤率穩定在5%以下。
전감기적위치화방향대행인관성도항적정위산법선택화정위결과유중요적영향。침대전감기위치화축향불고정인기적보벌탐측실진,인입중력축의합화맹원분리산법,제취출행주과정중반응척주운동적척주파。실험표명,재사충상견자태하,이척주파대체단축향가속도파진행보벌탐측,가장착오솔은정재5%이하。
In pedestrian inertial navigation, a sensor’s position and direction have significant influence on the location algorithm’s selection and location results. In view of the pace detection distortion caused by the unfixed position and direction of the sensor, a blind source separation algorithm was investigated to extract the walking acceleration for gait detection. Firstly, the acceleration from triaxial accelerometer was processed by gravity axis fitting. Secondly, the spine wave, which reflects the acceleration of spine, was extracted by blind source separation. Experiment results show that the error rate under 5%and stronger suitability can be obtained by treating spine wave as input source of pedometer.