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Integrated Navigation Technology for Land Applications
Author: WangZhiKun
Tutor: WuMeiPing;ZhangZuo
School: National University of Defense Science and Technology
Course: Control Engineering
Keywords: Car SINS GPS Speedometer Kalman filter
CLC: TN967.2
Type: Master's thesis
Year: 2010
Downloads: 230
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Abstract
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Vehicle navigation technology are very important both in the military field or civilian areas. Integrated navigation system widely used in automotive systems. Strapdown inertial navigation system (SINS) is an autonomous navigation system can continue to provide a variety of navigation information, and a short time to run higher precision, however, the positioning error accumulated over time, a long time accuracy is poor, there must be The outside auxiliary information combination navigation. Long-term error characteristics of the Global Positioning System (GPS) is better, but the short-term accuracy of better than pure inertial navigation. SINS / GPS integrated navigation system is the combination be able to learn from each other, is an ideal combination. Although the INS and GPS has many advantages, in wartime there will be a greater risk, inertial navigation and speedometer combination can achieve fully autonomous navigation research INS and external velocimetry equipment integrated navigation method also has an important practical significance. In this thesis, a vehicle navigation system, mainly for SINS / GPS Integrated Navigation and SINS / speedometer combination navigation combination of the two navigation methods to conduct in-depth research. The second chapter provides a brief introduction to the basic principles of the strapdown inertial navigation system (SINS), Global Positioning System (GPS) basic knowledge used to build the actual system speedometer. Chapter optimal estimate of the actual system needs - Kalman filtering principle detailed derivation and description of the Kalman filter recursive filtering equation. Chapter IV describes the SINS / GPS integrated navigation system, the depth derivation based on the actual needs of a particular model car navigation system, the state and measurement equations integrated navigation, Kalman filtering model portfolio position is constructed, in the actual system on a sports car test, the test results of a test is given. Chapter SINS / speedometer integrated navigation system, to improve the accuracy of the system, the system considers the speedometer calibration factor error, given the state of the integrated navigation system and measurement equations, and actual system constructed on the actual sports car test, given the results of a test. The the two combinations navigation preliminary experiments verify the correctness of the design of the system, the latter will further validate the accuracy of the system.
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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Radio navigation > Navigation systems of the various institutional > Complex navigation systems
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