MEMS Based Pedestrian Navigation System
作者： Seong Yun Cho , Chan Gook Park
DOI: 10.1017/S0373463305003486
关键词:
摘要: In this paper we present a micro-electrical mechanical system (MEMS) based pedestrian navigation (PNS) for seamless positioning. The sub-algorithms the PNS are developed and positioning performance is enhanced using modified receding horizon Kalman finite impulse response filter (MRHKF). consists of biaxial accelerometer magnetic compass mounted on shoe. detects step novel technique during stance phase simultaneously calculates walking information. Step length estimated neural network whose inputs azimuth calculated compass, information tilt compensation algorithm. Using proposed sub-algorithms, can be accomplished. However, may have an error that varies according to surrounding field. paper, varying compensated MRHKF filter. Finally, achieved, verified by experiment.
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