Notice of RetractionArchitecture and performance for MEMS-IMU aided GNSS tracking loops based on Fuzzy model

Huang Xun, Gao Qi-xiao, Chen Yong-bing, Liu Ya-li
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Abstract

Proposed a MEMS-IMU aided GNSS tracking loops within an ultra-tightly integration architecture based on a Fuzzy model. The IMU data provide LOS Doppler information to the GNSS tracking loops based Fuzzy logic controller. The performances of the model were simulated test and compared to the conventional tracking loops. The results show the proposed model could reduce carrier phase tracking loops bandwidth to 10Hz and improve the noise rejection .The improvement offer the ability of faster tracking of the carrier phase and robustness improvements to the GNSS receiver and integration of MEMS IMU/GNSS system.
基于模糊模型的MEMS-IMU辅助GNSS跟踪回路结构与性能研究
提出了一种基于模糊模型的超紧密集成MEMS-IMU辅助GNSS跟踪回路。IMU数据为基于模糊逻辑控制器的GNSS跟踪回路提供LOS多普勒信息。仿真测试了该模型的性能,并与传统的跟踪回路进行了比较。结果表明,该模型可将载波相位跟踪环路带宽降低至10Hz,提高了噪声抑制能力,提高了GNSS接收机和MEMS IMU/GNSS系统集成的鲁棒性和载波相位跟踪能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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