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GNSS-ISE:全球导航卫星系统基带处理的指令集扩展。

GNSS-ISE: Instruction Set Extension for GNSS Baseband Processing.

机构信息

Warsaw University of Technology, Institute of Microelectronics and Optoelectronics, ul. Koszykowa 75, 00-662 Warsaw, Poland.

ChipCraft Sp. z o.o., Lublin 20-262, Poland.

出版信息

Sensors (Basel). 2020 Jan 14;20(2):465. doi: 10.3390/s20020465.

DOI:10.3390/s20020465
PMID:31947573
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7027023/
Abstract

This work presents the results of research toward designing an instruction set extension dedicated to Global Navigation Satellite System (GNSS) baseband processing. The paper describes the state-of-the-art techniques of GNSS receiver implementation. Their advantages and disadvantages are discussed. Against this background, a new versatile instruction set extension for GNSS baseband processing is presented. The authors introduce improved mechanisms for instruction set generation focused on multi-channel processing. The analytical approach used by the authors leads to the introduction of a GNSS-instruction set extension (ISE) for GNSS baseband processing. The developed GNSS-ISE is simulated extensively using PC software and field-programmable gate array (FPGA) emulation. Finally, the developed GNSS-ISE is incorporated into the first-in-the-world, according to the authors' best knowledge, integrated, multi-frequency, and multi-constellation microcontroller with embedded flash memory. Additionally, this microcontroller may serve as an application processor, which is a unique feature. The presented results show the feasibility of implementing the GNSS-ISE into an embedded microprocessor system and its capability of performing baseband processing. The developed GNSS-ISE can be implemented in a wide range of applications including smart IoT (internet of things) devices or remote sensors, fostering the adaptation of multi-frequency and multi-constellation GNSS receivers to the low-cost consumer mass-market.

摘要

本工作展示了设计专用全球导航卫星系统 (GNSS) 基带处理指令集扩展的研究成果。本文描述了 GNSS 接收机实现的最新技术。讨论了它们的优缺点。在此背景下,提出了一种新的通用 GNSS 基带处理指令集扩展。作者介绍了针对多通道处理的指令集生成改进机制。作者采用的分析方法导致了 GNSS 指令集扩展 (ISE) 的引入,用于 GNSS 基带处理。使用 PC 软件和现场可编程门阵列 (FPGA) 仿真对开发的 GNSS-ISE 进行了广泛的模拟。最后,根据作者的了解,开发的 GNSS-ISE 被集成到世界上第一个集成、多频率和多星座的微控制器中,该微控制器具有嵌入式闪存。此外,该微控制器可用作应用处理器,这是一个独特的功能。所呈现的结果表明了将 GNSS-ISE 实现到嵌入式微处理器系统中的可行性,以及其执行基带处理的能力。所开发的 GNSS-ISE 可应用于各种应用中,包括智能物联网 (IoT) 设备或远程传感器,促进了多频率和多星座 GNSS 接收器适应低成本消费大众市场。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/9eb32cd261f6/sensors-20-00465-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/35ca38c6eb03/sensors-20-00465-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/11ba67325994/sensors-20-00465-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/657c43a9efe4/sensors-20-00465-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/6c95f05cb360/sensors-20-00465-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/330793ab61f6/sensors-20-00465-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/c3352c3dd7fb/sensors-20-00465-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/ae5a2c51e477/sensors-20-00465-g013.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/810647bc11e7/sensors-20-00465-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/2ea89ae4f394/sensors-20-00465-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/d32d781955b0/sensors-20-00465-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/9eb32cd261f6/sensors-20-00465-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/35ca38c6eb03/sensors-20-00465-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/18f846182066/sensors-20-00465-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/fb26ff333cbc/sensors-20-00465-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/3af82dc56854/sensors-20-00465-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/16342dc4ac82/sensors-20-00465-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/8f3bcc069592/sensors-20-00465-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/11ba67325994/sensors-20-00465-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/657c43a9efe4/sensors-20-00465-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/6c95f05cb360/sensors-20-00465-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/330793ab61f6/sensors-20-00465-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/c3352c3dd7fb/sensors-20-00465-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/c931c69c7dc4/sensors-20-00465-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/ae5a2c51e477/sensors-20-00465-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/1b308d4f2434/sensors-20-00465-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/810647bc11e7/sensors-20-00465-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/2ea89ae4f394/sensors-20-00465-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/d32d781955b0/sensors-20-00465-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a32d/7027023/9eb32cd261f6/sensors-20-00465-g018.jpg

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