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Research On Precise Error Correction Technology In Ariborne SINS/SAR Integrated Navigation

Posted on:2012-11-03Degree:MasterType:Thesis
Country:ChinaCandidate:D WangFull Text:PDF
GTID:2132330338496003Subject:Detection Technology and Automation
Abstract/Summary:PDF Full Text Request
Considering the particularity of the war nowadays, in order to advance the campaign efficiency, the navigation and guidance system of the next generation military aircraft must be the integrated navigation system, which is independent, reliable, without interference, round-the-clock, high-precision and has an intelligent recognition ability. Moreover the SINS/SAR integrated navigation system which possesses the highly autonomy and high performance will be the most appropriate system. Therefore, combining the development trend of the INS/image-matching integrated navigation technology, this paper will research pertinently on how to make full use of the SAR imaging sensors to realize the precise correction of the inertia error in the airborne application environments. The paper will be focused on the study of the image matching arithmetic and the integrated error precise correction technology of the airborne SINS/SAR integrated system. In order to provide the reference for the engineering application of SINS/SAR integrated navigation, the paper will construct the virtual prototype system of the airborne SINS/SAR integrated system.Firstly, the paper does research on the various imaging modes of the SAR in the airborne application environments. Combining the application requirement of the SINS/SAR integrated navigation and the SAR working characteristic, the paper proposes the scheme that the side-glance imaging mode could applied to the SINS/SAR integrated navigation system. Then, the airborne SINS/SAR integrated navigation scheme is designed particularly. In order to realize the scheme and definitude the research emphases, the paper analyses the important module involved. Moreover, for constructing the whole airborne SINS/SAR integrated navigation simulation platform subsequently, the measurement transfer course of the SAR image navigation system is analyzed and simulated.Secondly, aim at the application requirement of the airborne SINS/SAR integrated system, the imaging matching arithmetic of the integrated system is studied in depth. Through the research of the basic SIFT feature matching arithmetic under the strong noise influence, the paper exposures the adaptability and the localization of the SIFT feature matching arithmetic. In order to enhance the robustness and the instantaneity of the SIFT feature matching arithmetic, the paper proposes the scheme that multi-resolution analysis of wavelet transform could be applied to the SIFT feature matching arithmetic. Thus, the paper realizes the improved SIFT feature matching arithmetic based on the wavelet transform.Considering the requirement of the practical engineering application, the output characteristic of the SAR imaging matching navigation measurement in airborne application environment is researched. Combining the non-linear error excursion model of the inertia navigation system, through importing the UKF filter based on the UT transposition, the paper researches the non-linear filtering arithmetic which respectively resolves the unequal interval characteristics and the lag characteristics of the SAR measurement.In order to research the SINS/SAR integrated navigation system conveniently, considering the requirement for performance comprehensive verification of the key arithmetic at the same time, the paper researches and realizes the airborne SINS/SAR integrated navigation simulation platform. Through the simulation research of the airborne SINS/SAR integrated navigation system, the performance of the key arithmetic proposed in this paper is validated further. The simulation result also provides theory consult for the further engineering realization of the SINS/SAR integrated navigation.
Keywords/Search Tags:Synthetic Aperture Radar, Integarted Navigation, Image Matching, Wavelet Transform, Unscented Kalman Filtering, Simulation Platform
PDF Full Text Request
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