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Research On Key Technology In Ariborne SINS/SAR Integrated Navigation By Dual-antenna And Modeling Of Parameter Transmission

Posted on:2013-07-11Degree:MasterType:Thesis
Country:ChinaCandidate:D ZhangFull Text:PDF
GTID:2232330362970775Subject:Navigation, guidance and control
Abstract/Summary:PDF Full Text Request
Based on the complexity of modern battlefield environment, infomationization and localizationof warfare form, the requirements for weapon systems become more sophisticated, precise attackattracts much attention because it is an important factor to determine whether the war will besuccessful, precision of weapon systems requests high demands of precision-guided technology, andaccurate precision-guided navigation is the key. The integrated navigation system which can be usedfor high dynamic military aircraft and high-mobility fighter must be an independent and reliable,all-time, all-weather and high-precision navigation system, the most appropriate system is highlyautonomous and high-performance SINS/SAR integrated navigation system. Based on this,combined with the development trends of SAR and SINS, this paper studies the key technology ofairborne SINS/SAR integrated navigation system, focuses on the related technologies of parameterspassing in SAR measurement location and information fusion in SINS/SAR integrated navigationsystem, and builds a complete simulation platform of SINS/SAR integrated navigation system,which provides reference for the engineering of SINS/SAR integrated navigation system.This paper studies the SAR imaging approach in the airborne environment. Because in practicalapplications squint SAR imaging is the main approach, this paper focuses on the squint SAR, andproposes a program plan to use squint SAR in SINS/SAR integrated navigation system andresearches the design, analyzes the key technologies needs involved in the program of research, andclears the follow-up study designed to improve the location accuracy of integrated navigation system.Based on this, improving the location accuracy of SINS is the first factor to improve the performanceof the intergraded navigation in the follow-up study. This paper focuses on the algorithm ofhigh-precision SINS designed to improve the accuracy of SINS itself, and lays the foundation for thefollow-up studies of integrated navigation.For the urgent need to improve the accuracy of airborne SINS/SAR integrated navigationsystem, this paper researches the parameters passing in SAR measurement location. Through theestablishment of combined model, this paper reveals the nature of SAR measurement is convertingdirectly measured information of SAR into the navigation solution system; the transfer processachieves the transfer from match points to the center of INS, so the parameters into the integratednavigation filter are in the same reference plane. This paper establishes the geometry model ofmeasurement parameters passing, and on this basis, researches the effect of the error in variousmeasurement parameters of SAR to the accuracy of transmission, which makes a contribution to improve the accuracy of integrated navigation.Taking into the account of airborne SINS/SAR integrated navigation system in practicalengineering applications, this paper studies the navigation information fusion technology, andcombined with the specificity of SAR measurements output, proposes to apply adaptive filteringalgorithm in airborne SINS/SAR integrated navigation system, and proposes improved weightedSage adaptive filtering algorithm because of the non-adaptive of the simplified adaptive algorithm forhigh dynamic mobility. This paper analyzes the three filtering algorithm results of airborne SINS/SAR integrated navigation system.For further study of airborne SINS/SAR integrated navigation system, taking the need ofperformance comprehensive verification for key algorithm into account, this paper carries out aresearch for airborne SINS/SAR integrated navigation simulation platform. Through simulationstudies, this paper further verifies the performance of the proposed algorithm, which provides atheoretical basis and reference for the engineering of airborne SINS/SAR integrated navigation.
Keywords/Search Tags:Strap down Inertial Navigation, Integarted Navigation, Parameter Transmission, Self-adapting Kalman Filtering, Simulation Platform
PDF Full Text Request
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