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An Improved Zero-Speed Interval Detection Algorithm for Inertial Pedestrian Navigation
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Tao ZHENG1, Yan PENG2, Mingyue LIU1, *
Journal of Geodesy and Geodynamics | 2025, 45(12) : 1234 - 1239
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Journal of Geodesy and Geodynamics | 2025, 45(12): 1234-1239
An Improved Zero-Speed Interval Detection Algorithm for Inertial Pedestrian Navigation
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Tao ZHENG1, Yan PENG2, Mingyue LIU1, *
Affiliations
  • 1 School of Geomatics, Liaoning Technical University, 88 Yulong Road, Fuxin 123000, China
  • 2 Zhejiang Institute of Surveying and Mapping Science and Technology, 2 Dixin Road, Hangzhou 310012, China
  • ZHENG Tao, PhD, lecturer, majors in multi-source fusion positioning, GNSS inertial guidance combined navigation and positioning, E-mail:

About Author:

ZHENG Tao, PhD, lecturer, majors in multi-source fusion positioning, GNSS inertial guidance combined navigation and positioning, E-mail:

Published: 2025-12-15 doi: 10.14075/j.jgg.2024.12.554
Outline
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In inertial pedestrian navigation, traditional fixed-threshold detection methods often significantly increase the positioning error of pedestrians due to false positives and false negatives. To address this issue, this paper proposes an improved zero-velocity interval detection algorithm. The algorithm first constructs an adaptive threshold detection model based on the generalized likelihood ratio test(GLRT). It then uses the threshold values obtained from multi-constraint detection to eliminate false positives in the adaptive detection process, thereby improving the detection accuracy of zero-velocity intervals. To verify the performance of the algorithm, two experimental scenarios were designed: constant-speed and fast walking along L-shaped and rectangular routes. The experimental results show that compared with acceleration magnitude variance(AMV) detection and GLRT detection, the proposed algorithm is not only simple to implement but also reduces the root mean square error(RMSE) of reference points by more than 40%, significantly enhancing the accuracy of inertial pedestrian navigation.

inertial pedestrian navigation  /  zero-speed interval detection  /  adaptive threshold  /  multiple constraints  /  indoor positioning
郑涛, 彭艳, 刘明岳. 一种改进的惯性行人导航零速区间检测算法. 大地测量与地球动力学, 2025 , 45 (12) : 1234 -1239 . DOI: 10.14075/j.jgg.2024.12.554
Tao ZHENG, Yan PENG, Mingyue LIU. An Improved Zero-Speed Interval Detection Algorithm for Inertial Pedestrian Navigation[J]. Journal of Geodesy and Geodynamics, 2025 , 45 (12) : 1234 -1239 . DOI: 10.14075/j.jgg.2024.12.554
  • National Natural Science Foundation of China(42401488)
  • Foundation for Doctors of Liaoning Province(2023-BS-202)
  • Foundation of Education Department of Liaoning Province(JYTQN2023202)
Year 2025 volume 45 Issue 12
41
19
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Article Info
doi: 10.14075/j.jgg.2024.12.554
  • Receive Date:2024-12-08
  • Online Date:2026-10-29
  • Published:2025-12-15
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History
  • Received:2024-12-08
Funding
National Natural Science Foundation of China(42401488)
Foundation for Doctors of Liaoning Province(2023-BS-202)
Foundation of Education Department of Liaoning Province(JYTQN2023202)
Affiliations
    1 School of Geomatics, Liaoning Technical University, 88 Yulong Road, Fuxin 123000, China
    2 Zhejiang Institute of Surveying and Mapping Science and Technology, 2 Dixin Road, Hangzhou 310012, China
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表12种不同金属材料的力学参数
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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