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REAL TIME IMPLEMENTATION OF INTEGRATED NAVIGATION SYSTEM INS/GNSS UNDER NON GAUSSIAN MEASUREMENT NOISE

机译:非高斯测量噪声下集成导航系统INS / GNSS的实时实现

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Based on new design of INS/GNSS, it is proposed using Non linear approximation techniques such as Extended Kalman Filter (EKF), more accurate (Sigma Point Kalman Filter (SPKF) and Divided Difference Filters (DDF), more precise navigation system based on parallel architecture. More efficient navigation system is simulated and tested and then the novel architecture called Robust Integrated Navigation System (RANS) with inertial sensors redundancy. A very interesting filtering results are given and discussed under impulsive noises environment in simulation on Matlab and on FPGA XILINX SPARTAN 3-E.
机译:基于INS / GNSS的新设计,提出了非线性逼近技术,如扩展卡尔曼滤波器(EKF),更精确的(Sigma Point Kalman滤波器(SPKF)和分差滤波器(DDF),更精确的导航系统。仿真并测试了更高效的导航系统,然后对具有惯性传感器冗余的新型鲁棒综合导航系统(RANS)进行了架构设计,并在脉冲噪声环境下在Matlab和FPGA XILINX上进行了仿真,给出了非常有趣的滤波结果并进行了讨论。斯巴达3-E。

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