Reliable SINS/SAR/GNSS Integrated Navigation System for the Supersonic Vehicle

In the GNSS-challenged/denied environments, compared with other aided navigation systems, synthetic aperture radar- (SAR-) systems can achieve all-weather, all-day, and global positioning. This paper is aimed at designing a reliable system for supersonic vehicle in whole flight phase. Considering SAR of great significance precise vehicle, we introduce it to terminal phase cope interference satellite (GNSS). At same time, accelerate speed positioning, positioning method based on area feature stack sequential decoding algorithm (SSDA) designed. Then, applying under framework Kalman filter (KF), propose tightly coupled strapdown inertial (SINS)/SAR/GNSS integration algorithm, which without complicated fusion between front The experiment results show that proposed correct average position error 1.7 m within 1 cycle.