[time]
2023-08-07T10:02:40+02:00

[track]
4

[team_name]
CETC-CePNT

[team_institution]
The 54th Research Institute of China Electronics Technology Group Corporation

[logolink]


[team_members]


[reference_person]
Baoguo Yu;Jun Li;Xinjian Wang;Yanan Hu;Haonan Jia;Lu Huang

[reference_email]
wangxinjian0620@qq.com

[description_short]
Multiple conditions zero-velocity detection algorithms are employed to detect zero-velocity intervals within the walking gait. Within the detected zero-velocity intervals, the principle of zero-velocity correction algorithm is utilized to construct the observed quantity of velocity error; leveraging the characteristics of stationary pedestrian foot-ground contact and only subjected to gravity acceleration and unchanged posture angles within the zero-velocity intervals to construct the observed quantity of posture angle error. Satellite signals acquired by the system are differentiated and identified, usable signals are extracted, and a Kalman filter is applied to estimate errors in posture angles, velocity, and position within the zero-velocity intervals. The obtained error state estimation results are utilized for error correction in pedestrian navigation, enhancing the accuracy of inertial pedestrian navigation.

[description_long_link]
https://kns.cnki.net/kcms2/article/abstract?v=3uoqIhG8C44YLTlOAiTRKibYlV5Vjs7i8oRR1PAr7RxjuAJk4dHXoovW3Rmt0xnbze6O3oBLRi82fUcVS0b87bvLPHbdPGv5

[uniplat]


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