Design of a MEMS IMU Based Integrated Navigation Algorithm for EOTS Using Aiding Information with Transmission Latency in High Maneuvering Environment

Jae Hoon Son, Sang Heon Oh, and Dong-Hwan Hwang

Peer Reviewed

Abstract:	In this paper, a MEMS (Micro Electro Mechanical Systems) IMU (Inertial Measurement Unit) based integrated navigation algorithm for the EOTS (Electro-Optical Tracking System) is proposed using the aiding information with transmission delay in high maneuvering environment. The MEMS IMU is installed on the gimbal of the EOTS and output of the MINS (Master INS) is used as aiding information in the navigation algorithm. A system model for the integration Kalman filter is developed considering effect of the high maneuver of the vehicle into the MEMS IMU and augmented the transmission delay model into the integration Kalman filter in order to reduce effect of the aiding information error. Effectiveness of the proposed algorithm has been shown through comparative performance analysis of the integrated navigation algorithm with several orders of filters under the condition without transmission delay and with various transmission delays. Results show that the 23rd order filter using the proposed algorithm gives the best target tracking performance in the environment with high maneuver and transmission delay.
Published in:	Proceedings of the ION 2024 Pacific PNT Meeting April 15 - 18, 2024 Hilton Waikiki Beach Honolulu, Hawaii
Pages:	575 - 585
Cite this article:	Son, Jae Hoon, Oh, Sang Heon, Hwang, Dong-Hwan, "Design of a MEMS IMU Based Integrated Navigation Algorithm for EOTS Using Aiding Information with Transmission Latency in High Maneuvering Environment," Proceedings of the ION 2024 Pacific PNT Meeting, Honolulu, Hawaii, April 2024, pp. 575-585. https://doi.org/10.33012/2024.19614
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