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首页> 外文会议>Proceedings of the Institute of Navigation 2011 international technical meeting >Development of a Context-Aware Vector-Based High-Sensitivity GNSS Software Receiver
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Development of a Context-Aware Vector-Based High-Sensitivity GNSS Software Receiver

机译：基于上下文感知矢量的高灵敏度GNSS软件接收器的开发

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摘要

In a standard GNSS scalar-based receiver, GNSS signalsrnare usually processed on a satellite-by-satellite basis usingrnscalar-based tracking loops. In contrast, a vector-basedrnbased receiver combines the signal processing and thernnavigation solution into one step so that one tracking orrnprocessing channel can aid other channels via thernnavigation state; thus generally it has better sensitivityrnover a scalar-based receiver. However the gain due to therninter-channel aiding in a vector-based receiver isrnnegligible for indoor applications. In addition to vectorbasedrntracking, longer coherent integrations are neededrnfor indoor navigation. Although extending the coherentrnintegration time for conventional standard tracking loopsrn(DLL/FLL/PLL) and Kalman filter based tracking loopsrnis possible, the robustness of the carrier phase tracking inrnthese tracking loops remains an issue. In this paper, arncombined approach of the block processing andrncentralized vector-based tracking is utilized for robustrnindoor navigation. A context-aware approach is used tornoptimize the processing load of the receiver and thernmeasurement weighting to provide seamless outdoorindoorrnnavigation. Cascaded Kalman filter vector-basedrntracking is used under open-sky conditions; blockrnprocessing and centralized vector processing is enabledrnwhen the signal power drops, signal fading levelrnincreases, or the Kalman filter tracking loops haverndifficulty to maintain lock. The algorithms,rnimplementation details, and performance of the proposedrncontext-aware high-sensitivity GNSS software receiverrnand its ultra-tight version are presented in this paper.rnBased on the results shown, the proposed receivers havernacceptable robustness and accuracy for indoor navigation.
机译：在标准的基于GNSS标量的接收机中，通常使用基于标量的跟踪循环逐个卫星处理GNSS信号。相反，基于矢量的接收机将信号处理和导航解决方案组合为一个步骤，因此一个跟踪或处理信道可以通过导航状态辅助其他信道。因此，与基于标量的接收机相比，它通常具有更好的灵敏度。然而，对于基于室内应用，基于矢量的接收机中的信道间辅助带来的增益是微不足道的。除了基于矢量的跟踪外，室内导航还需要更长的相干集成。尽管可能延长常规标准跟踪环路（DLL / FLL / PLL）和基于卡尔曼滤波器的跟踪环路的相干积分时间，但这些跟踪环路的载波相位跟踪的鲁棒性仍然是一个问题。本文采用基于块的处理和基于矢量的集中跟踪的组合方法进行鲁棒的室内导航。上下文感知方法用于优化接收器的处理负载和测量加权，以提供无缝的室外室内导航。基于层叠卡尔曼滤波器矢量的跟踪在露天条件下使用；当信号功率下降，信号衰落电平增加或卡尔曼滤波器跟踪环路难以维持锁定时，将启用块处理和集中矢量处理。本文介绍了拟议中的上下文感知型高灵敏度GNSS软件接收机及其超紧密版本的算法，实现细节和性能。基于显示的结果，拟议中的接收机在室内导航方面具有可接受的鲁棒性和准确性。

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