JOURNAL ARTICLE

Initial alignment for strapdown inertial navigation system based on inertial frame

Abstract

A initial alignment algorithm in the inertial frame based on the alignment application of Kalman filter was presented. State and observation equations of strapdown inertial navigation system (SINS) are established using Kalman filter by the gravity vector projected in the inertial frame, and the initial alignment of the SINS based on the inertial frame on stationary base was compared with the alignment based on the geographic coordinate frame. The analysis shows that the heading misalignment's precision was improved, and this method was proved by simulation.

Keywords:
Inertial navigation system Inertial frame of reference Kalman filter Frame (networking) Computer science Heading (navigation) Coordinate system State vector Base (topology) Extended Kalman filter Control theory (sociology) Computer vision Artificial intelligence Engineering Mathematics Physics Aerospace engineering

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Citation History

Topics

Inertial Sensor and Navigation
Physical Sciences →  Engineering →  Aerospace Engineering
Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Astronomical Observations and Instrumentation
Physical Sciences →  Engineering →  Computational Mechanics
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