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Technique for MAT analysis and performance assessment of P2P acquisition engines

机译:P2P采集引擎的MAT分析和性能评估技术

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摘要

The first processing block within a Global Navigation Satellite Systems (GNSS) receiver is the acquisition engine. As it may represent a bottleneck for subsequent blocks in the receiver chain, it is essential to tune the acquisition engine to have any chance in designing an efficient receiver. Peer to Peer (P2P) networks present the opportunity to do so, by exchanging GNSS aiding information among nodes of the network to reduce the acquisition search space. Moreover, the Mean Acquisition Time (MAT) is often used as a performance metric and usually derived using probability generating functions and flow graph diagrams based on Markov processes. In this paper, an intuitive technique based on acquisition time and MAT diagrams is presented and used to derive an expression of the MAT as well as to analyze its constitutive terms. The MAT of a standard acquisition engine is compared to that of a P2P engine with a thorough investigation of a Gaussian search order and zig-zag search strategy to assess the performance improvement brought about by P2P networks.
机译:全球导航卫星系统(GNSS)接收器中的第一个处理模块是采集引擎。由于它可能代表接收器链中后续模块的瓶颈,因此必须调整采集引擎,以有机会设计出高效的接收器。通过在网络节点之间交换GNSS辅助信息以减少获取搜索空间,对等(P2P)网络提供了这样做的机会。此外,平均获取时间(MAT)通常用作性能指标,通常使用概率生成函数和基于马尔可夫过程的流程图得出。在本文中,提出了一种基于采集时间和MAT图的直观技术,并将其用于导出MAT的表达式以及分析其构成项。通过全面研究高斯搜索顺序和之字形搜索策略,将标准获取引擎的MAT与P2P引擎的MAT相比较,以评估P2P网络带来的性能提升。

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