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《Missiles and Space Vehicles》 2010-04
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Application of Compressed Sensing Theory in GPS/SINS Integrated Navigation

Ruan Di,Han Chongzhao(Institute of Integrated Automation,School of Electronics and Information Engineering,Xi’an Jiaotong University,Xi’an,710049)  
GPS/SINS integrated navigation system,which can offer real-time,high-precision navigation and positioning service even in high dynamic and strong radio interference environment,has become the principal application mode.Because the system complexity increases,the demand of an increase in the amount of data,high-speed and high-reliability storage leads to an unavoidable issue.As an emerging technology in the field of signal sampling,Compressed Sensing(CS) breaks the limit of frequency in the Nyquist sampling theorem so that less data sampling is needed to nearly perfectly reconstruct the signal.The principles of CS and GPS/SINS integrated navigation system are surveyed and the idea of applying CS in the integrated systems is proposed,then the CS theory is used for compression and reconstruction of the covariance matrix in Kalman filter.Simulation has validated the effectiveness of the method.
【Fund】: 国家自然科学基金(60602026);; 国家重点基础研究发展计划基金(2007CB311006)
【CateGory Index】: V249.328
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