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Fault-Tolerant Navigation Method for Unmanned Aerial Vehicle Based on Heterogeneous Pseudorange Augmentation

机译:基于异构伪距增强的无人飞行器容错导航方法

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With the increasing application field of unmanned aerial vehicles, the integrity guarantee capability of satellite navigation system is constantly challenged by complex environments. The introduction of multi-source auxiliary information is an effective mean to enhance the availability of satellite navigation. As a method of land-based long-range radio navigation, Loran-C navigation system has good stability and can provide pseudorange auxiliary measurement information in specific areas to assist satellite receiver in fault detection. Aiming at the problems that the protection level provided by satellite navigation alone may not meet the requirements and the accuracy and reliability of fault detection result may reduce in complex environments, this paper proposed a fault-tolerant navigation method for unmanned aerial vehicle based on pseudorange augmentation. This method introduces the augmented pseudorange information of Loran-C system to assist the inertial/Beidou integrated navigation in integrity detection. Considering the difference of pseudorange measurement characteristics between Loran-C system and Beidou navigation system, this paper uses the weighted least square method to overcome heteroscedasticity and establishes the Loran-C/Beidou augmented pseudorange observation model. Based on this model this paper studies the augmented pseudorange system integrity protection level algorithm when introducing the Loran-C information, and constructs the fault detection and system fault-tolerance algorithm on this basis. The simulation results show that, compared with traditional satellite navigation, this method can effectively improve the integrity guarantee level of system and enhance the fault-tolerance ability of the system under the condition of partial limitation of satellite navigation.
机译:随着无人飞行器应用领域的不断扩大,卫星导航系统的完整性保证能力不断受到复杂环境的挑战。引入多源辅助信息是增强卫星导航可用性的有效手段。作为陆基远程无线电导航的一种方法,Loran-C导航系统具有良好的稳定性,可以在特定区域提供伪距辅助测量信息,以协助卫星接收器进行故障检测。针对在复杂环境下仅靠卫星导航所提供的保护水平可能无法满足要求,故障检测结果的准确性和可靠性可能降低的问题,提出了一种基于伪距增强的无人飞行器容错导航方法。该方法引入了Loran-C系统的增强伪距信息,以帮助惯性/北斗集成导航进行完整性检测。考虑到Loran-C系统与北斗导航系统伪距测量特性的差异,本文采用加权最小二乘法克服异方差,建立了Loran-C / Beidou增强伪距观测模型。在此模型的基础上,研究了引入Loran-C信息时的增强伪距系统完整性保护等级算法,并在此基础上构造了故障检测与系统容错算法。仿真结果表明,与传统的卫星导航相比,该方法在卫星导航局部受限的情况下,可以有效提高系统的完整性保证水平,增强系统的容错能力。

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