A Low-Order Gravity Disturbance Compensation Algorithm Based on Carrier Motion Constraints

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Yu Wang;Wenzhe Zhang;Shengwu Zhao;Zhihong Deng
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引用次数: 0

Abstract

Gravity disturbance compensation technology is an important means to further enhance the positioning accuracy of high-precision inertial navigation systems (INSs). In response to the challenges faced by traditional gravity disturbance acquisition methods, which are computationally complex and time-consuming, this article proposes a gravity disturbance calculation and compensation method based on carrier motion constraints. First, using velocity information as a constraint, a conversion model is constructed for the low-frequency signal of gravity disturbance to calculate the low-order spherical harmonic model. This model significantly reduces the time cost required for the gravity disturbance model computation. Second, addressing the misalignment between the actual navigation coordinate system and the ideal navigation coordinate system caused by gravity disturbances, a coordinate system correction algorithm based on the direction cosine matrix of disturbances is proposed. This algorithm enhances the positioning accuracy and reliability of high-precision INSs. Experimental results show that the proposed low-order gravity disturbance compensation algorithm based on carrier motion constraints improves the positioning accuracy by 27.89% compared to traditional algorithms while reducing computation time by 64.84%. This meets the real-time positioning requirements for long-distance navigation conditions, especially suited for UUVs, AUVs, and submarine platforms with limited computational resources, as it optimizes processing efficiency while maintaining high accuracy.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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