Abstract
Inertial navigation systems based on microelectromechanical systems (MEMS) sensors offer advantages that include small size, light weight, low power consumption, strong environmental adaptability, ...
Highlights
Modern warfare requires weapons and military equipment to have characteristics that include a high degree of informatization, high guidance precision, and a high combat efficiency-to-cost ratio
Microinertial sensors offer the advantages of small size, light weight, highimpact resistance, low power consumption, and low cost
When combined with satellite positioning systems, microinertial sensors have the advantages of the full autonomy of the inertial navigation system, and have the high-precision positioning characteristics
Summary
Modern warfare requires weapons and military equipment to have characteristics that include a high degree of informatization, high guidance precision, and a high combat efficiency-to-cost ratio. Given the characteristics described above, the design of the inertial system for guided ammunition should be focused on the design of an anti-high-overload structure, in-flight initial self-alignment of attitude, integrated MEMS/global navigation satellite system (GNSS) navigation, and error calibration and compensation technology for the micro-inertial devices when operating under highly dynamic conditions. In Wei and Zhang’s literature,[10] the quaternion error equation and extended Kalman filter (EKF) technology have been used to provide effective improvements in the alignment accuracy of a strapdown inertial navigation system with a high-precision inertial device at a large misalignment angle. -coordinate system on the n -coordinate system, v^ nin is the angular velocity of the n -system relative to the i -system obtained using the position and velocity calculations; Quaternion matrix q0 Àq1 Àq2 Àq3
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Distributed Sensor Networks
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
