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A Study On Multi-level Fusion Algorithm Of Integrated Navigation System

Posted on:2006-06-25Degree:MasterType:Thesis
Country:ChinaCandidate:X M ZhangFull Text:PDF
GTID:2168360155453137Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
The emergence of technology based on satellite makes navigation positioning change in quality. Taking GPS for an instance, it is the best in positioning techniques home and abroad by easy fixing, low cost and convenient maintenance. GPS is comprised of navigation stars, land detect stations and user receivers. A GPS receiver can get positioning information from navigation stars. However, it will reduce its positioning precision, even can't get its position when it is sheltered by buildings, trees and tunnels,etc. It needs an assistant positioning technique to conquer these problems. When GPS is used as a single positioning method, what people concern is signal discontinue. Signal discontinue may be produced by GPS aerial or some obstacles (ex. City building, city woods and tunnel and so on ), or some disturbance from outside. GPS receiver can be regarded as a time, position/velocity sensor and it can offer continuous navigation need. Between the period of time renew and sheltering of GPS receiver, the course of being disturbed. This paper introduces present several integration navigation methods. GPS is a major navigation method, and other ones are helpful. Present navigation method includes GPS/DR, GPS/INS, GPS/GLONASS, GPS/DR/INS and so on. This paper uses a GPS/INS/DRstructure to improve GPS positioning precision. The process of the system is as follows: a GPS receiver the signals from navigation stars to obtain information of a target such as longitude, latitude, time, speed, direction, etc.and then transfer them to a computer by RS—232 serial port. Meanwhile, gyroscope and odograph transfer course angle and distance...
Keywords/Search Tags:Information fusion, Kalman filter, Integrated navigation Multi-level fusion algorithm
PDF Full Text Request
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