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INS Aided Multi-GNSS Robust Positioning with Centralized and Distributed Fusion Algorithm

机译:辅助多GNSS具有集中式和分布式融合算法的强大定位

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摘要

Recently, GNSS receiver commonly employs multiple GNSS signals for positioning, but simultaneously the risk of encountering with GNSS system fault that the multi-GNSS receiver embraces goes up. If any measurement from the multiple constellations is in fault, the multi-GNSS solution will be totally influenced. Integrity faults can be detected and isolated by various Receiver Autonomous Integrity Monitoring (RAIM) algorithms; however the faults with small amplitudes are difficult for RAIM to detect without augmentations, and it will be worse when there are only a few satellites are available. Based on the assumption of at most a single fault occurs in the multiple constellations at any given time, this paper presents a method which is able to detect single range bias fault of small amplitude and identify corresponding faulty satellite in the position domain, by treating each satellite system as an isolating sensor and estimating the difference vector between single-GNSS position solutions. A detailed failure detection and isolation (FDI) process is given; according to the estimated results, a conservative solution is obtained with centralized or distributed fusion algorithm even if the detected fault is impossible to be identified and compensated. Finally, simulation examples combine GPS with BDS are carried out to validate the presented method.
机译:最近,GNSS接收器通常采用多个GNSS信号进行定位,而是同时遇到GNSS系统故障的风险,即多GNSS接收器收起的增加。如果来自多个星座的任何测量都处于故障中,则多GNSS解决方案将完全影响。可以通过各种接收者自主完整性监测(RAIM)算法来检测和隔离完整性故障;然而,对于没有增强的人来说,具有小幅度的故障是难以检测的,并且在只有少数卫星时,它会更糟。基于最多的假设在任何给定时间的多个星座中发生在多个星座中,本文介绍了一种能够检测小幅度的单一范围偏置故障并通过处理每个域中的单个范围偏置故障,并通过处理位置域中识别相应的故障卫星卫星系统作为隔离传感器并估算单GNSS位置解决方案之间的差值矢量。给出了详细的故障检测和隔离(FDI)过程;根据估计结果,即使检测到的故障是不可能识别和补偿,也可以通过集中式或分布式融合算法获得保守解决方案。最后,仿真实例将GPS与BDS结合以验证所呈现的方法。

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