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基于仿真的室内超声定位系统在存在干扰时的弹性量化。

Simulation-Based Resilience Quantification of an Indoor Ultrasound Localization System in the Presence of Disruptions.

机构信息

Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institute (EMI), 79588 Efringen-Kirchen, Germany.

Department of Microsystem Engineering (IMTEK), University of Freiburg, 79110 Freiburg, Germany.

出版信息

Sensors (Basel). 2021 Sep 22;21(19):6332. doi: 10.3390/s21196332.

DOI:10.3390/s21196332
PMID:34640652
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8512807/
Abstract

Time difference of arrival (TDOA) based indoor ultrasound localization systems are prone to multiple disruptions and demand reliable, and resilient position accuracy during operation. In this challenging context, a missing link to evaluate the performance of such systems is a simulation approach to test their robustness in the presence of disruptions. This approach cannot only replace experiments in early phases of development but could also be used to study susceptibility, robustness, response, and recovery in case of disruptions. The paper presents a simulation framework for a TDOA-based indoor ultrasound localization system and ways to introduce different types of disruptions. This framework can be used to test the performance of TDOA-based localization algorithms in the presence of disruptions. Resilience quantification results are presented for representative disruptions. Based on these quantities, it is found that localization with arc-tangent cost function is approximately 30% more resilient than the linear cost function. The simulation approach is shown to apply to resilience engineering and can be used to increase the efficiency and quality of indoor localization methods.

摘要

基于到达时间差 (TDOA) 的室内超声定位系统容易受到多种干扰，并且在运行过程中需要可靠和有弹性的位置精度。在这种具有挑战性的情况下，评估此类系统性能的缺失环节是一种模拟方法，可以在存在干扰的情况下测试其鲁棒性。这种方法不仅可以替代开发早期的实验，还可以用于研究在受到干扰时的敏感性、鲁棒性、响应和恢复能力。本文提出了一种基于 TDOA 的室内超声定位系统的仿真框架，以及引入不同类型干扰的方法。该框架可用于测试存在干扰时基于 TDOA 的定位算法的性能。针对代表性干扰提出了弹性量化结果。基于这些数量，发现基于反正切代价函数的定位比线性代价函数的弹性大约高 30%。该仿真方法适用于弹性工程，可以用于提高室内定位方法的效率和质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27f1/8512807/7fdd1ae8fac4/sensors-21-06332-g014.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27f1/8512807/b4504c4fb2b7/sensors-21-06332-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27f1/8512807/2cc18ff24346/sensors-21-06332-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27f1/8512807/2465426c9e15/sensors-21-06332-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27f1/8512807/89b2bfcf6958/sensors-21-06332-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27f1/8512807/5b431fa4993d/sensors-21-06332-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27f1/8512807/154892f7ad9b/sensors-21-06332-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27f1/8512807/a4526ca19d07/sensors-21-06332-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27f1/8512807/bb2c99e149d3/sensors-21-06332-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27f1/8512807/3ddf001c7dac/sensors-21-06332-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27f1/8512807/b4504c4fb2b7/sensors-21-06332-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27f1/8512807/2cc18ff24346/sensors-21-06332-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27f1/8512807/2465426c9e15/sensors-21-06332-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27f1/8512807/89b2bfcf6958/sensors-21-06332-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27f1/8512807/888d8a3f6c37/sensors-21-06332-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27f1/8512807/7fdd1ae8fac4/sensors-21-06332-g014.jpg

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