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Multiple reference consistency check for LAAS: A novel position domain approach

机译:LAAS的多参考一致性检查:一种新颖的位置域方法

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Since the traditional Maximum Likelihood-based range domain multiple reference consistency check (MRCC) has limitations in satisfying the integrity requirement of CAT II/III for civil aviation, a Kalman filter-based position domain method has been developed for fault detection and exclusion in the Local Area Augmentation System MRCC process. The position domain method developed in this paper seeks to address the limitations of range domain-based MRCC by focusing not only on improving the performance of the fault detection but also on the integrity risk requirement for MRCC. In addition, the issue of the stability of the Kalman filter in relation to the position domain approach is considered. GPS range corrections from multiple reference receivers are fused by the adaptive Kalman filter at the master station for detecting and excluding the single reference receiver' failure. The performance of the developed Kalman filter-based MRCC has been compared with the traditional method using experimental data. The results reveal that the vertical protection level is slightly better in the traditional method compared with the developed Kalman filter-based approach under the fault-free case. However, the availability can be improved to over 97% in the proposed method relative to the traditional method under the single-fault case. Furthermore, the fault-tolerant positioning result with an accuracy improvement of more than 32% can be achieved even if different fault types are considered under the single-fault case. In particular, the algorithm can be a candidate option as an augmentable complement for the traditional MRCC and can be implemented in a master station element of the LAAS integrity monitoring architecture.
机译:由于传统的基于最大似然的距离域多参考一致性检查(MRCC)在满足民航CAT II / III的完整性要求方面存在局限性,因此已经开发了基于卡尔曼滤波器的位置域方法来进行故障检测和排除。本地增强系统MRCC流程。本文开发的位置域方法不仅要着眼于提高故障检测的性能,还要着眼于MRCC的完整性风险要求,从而寻求解决基于范围域的MRCC的局限性。另外,考虑了相对于位置域方法的卡尔曼滤波器的稳定性问题。来自多个参考接收器的GPS距离校正通过主站上的自适应卡尔曼滤波器进行融合,以检测并排除单个参考接收器的故障。使用实验数据,已将开发的基于卡尔曼滤波器的MRCC的性能与传统方法进行了比较。结果表明,在无故障情况下,传统方法的垂直保护水平要优于基于卡尔曼滤波器的垂直保护水平。但是,相对于传统方法,在单故障情况下,该方法的可用性可以提高到97%以上。此外,即使在单故障情况下考虑不同的故障类型,也可以实现精度提高超过32%的容错定位结果。特别地,该算法可以作为传统MRCC的可扩展补充作为候选选项,并且可以在LAAS完整性监视体系结构的主站元素中实现。

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