An indoor fusion navigation algorithm using HV-derivative dynamic time warping and the chicken particle flter

作     者：Jian Chen Shaojing Song Yumei Gong Shanxin Zhang 

作者机构：School of Computer and Information EngineeringShanghai Polytechnic UniversityShanghai 200000China School of Computer and Information EngineeringShandong Normal UniversityJinanChina 

出 版 物：《Satellite Navigation》 (卫星导航（英文）)

年 卷 期：2022年第3卷第1期

页      面：167-184,I0005页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 080902[工学-电路与系统] 08[工学] 0714[理学-统计学（可授理学、经济学学位）] 0701[理学-数学] 

基　　金：supported by Grant EGD21QD15 the Research project of Shanghai Polytechnic University。 

主　　题：An indoor fusion navigation algorithm HV-derivative dynamic time warping Chicken particle flter 

摘      要：The use of dead reckoning and fngerprint matching for navigation is a widespread technical method.However,fngerprint mismatching and low fusion accuracy are prevalent issues in indoor navigation systems.This work presents an improved dynamic time warping and a chicken particle flter to handle these two challenges.To generate the Horizontal and Vertical(HV)fngerprint,the pitch and roll are employed instead of the original fngerprint intensity to extract the horizontal and vertical components of the magnetic feld fngerprint.Derivative dynamic time warping employs the HV fngerprint in its derivative form,which receives higher-level features because of the consideration of fngerprint shape information.Chicken Swarm Optimization(CSO)is used to enhance particle weights,which minimizes position error to tackle the particle impoverishment problem for a fusion navigation system.The results of the experiments suggest that the enhanced algorithm can improve indoor navigation accuracy signifcantly.