首页> 外文会议>Proceedings of the Institute of Navigation 2012 international technical meeting >Real Time Advanced Receiver Autonomous Integrity Monitoring in DLR’s Multi-Antenna GNSS Receiver
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Real Time Advanced Receiver Autonomous Integrity Monitoring in DLR’s Multi-Antenna GNSS Receiver

机译:DLR的多天线GNSS接收器中的实时高级接收器自主完整性监控

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The present paper introduces a real-time implementationrnof Advanced Receiver Autonomous Integrity Monitoringrn(ARAIM) implemented in DLR’s array antenna receiverrn“GALANT”. The receiver is capable of tracking multiplernfrequency measurements both from GPS and Galileo signals.rnThe position, velocity and time (PVT) unit and the Multi-rnHypothesis Solution Separation (MHSS) based ARAIM unitrnare closely coupled and operate in a real-time processingrnenvironment within the receiver demonstrator.rnThe presented MHSS based RAIM is extended with FaultrnDetection and Exclusion (FDE) functionality that can identifyrnlarge measurement faults in one or multiple range measurements,rnand adapt its measurement model to mitigate therneffects of such biases. Different concepts to obtain such FDErnfunctionality are discussed and compared.rnA series of measurements using the Galileo Testbed GATErnhas been recorded and processed in real time using thernpresented hardware/software platform. Feared event scenariosrnwere generated by introducing biases to one or multiplernpseudorange observations on signal level, i.e. at the GATErnprocessing facility. The PVT and integrity results for nominalrnand feared event scenarios are presented. The ability of MHSSrnARAIM to provide a robust navigation solution in the presencernof such large faults is assessed and the improvement ofrnpositioning accuracy introduced through the application ofrnFDE methods is demonstrated.
机译:本文介绍了在DLR的阵列天线接收器“ GALANT”中实现的高级接收器自主完整性监视(ARAIM)的实时实现。接收器能够跟踪GPS和Galileo信号的多个频率测量值。位置,速度和时间(PVT)单元与基于多重假设假设解决方案分离(MHSS)的ARAIM单元紧密耦合并在实时处理环境中运行。接收机演示器。提出的基于MHSS的RAIM扩展了故障检测与排除(FDE)功能,该功能可以识别一个或多个范围测量中的大型测量故障,并调整其测量模型以减轻此类偏差的影响。讨论并比较了获得此类FDErn功能的不同概念。使用伽利略测试平台GATErn进行的一系列测量已使用所提供的硬件/软件平台进行了实时记录和处理。恐惧事件场景是通过对信号水平上的一个或多个伪距观测值(即GATE处理设备)引入偏差而生成的。给出了名义事件和担心事件场景的PVT和完整性结果。评估了MHSSrnARAIM在存在大故障的情况下提供鲁棒导航解决方案的能力,并证明了通过应用rnFDE方法引入的定位精度的提高。

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