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

Aishvarya Kumar Jain,Emanuël A P Habets,Patrick Gelhausen,Ivo Häring,Georg Fischer,Dominik Jan Schott,Fabian Höflinger,Hermann Scheithauer,Stefan Johann Rupitsch,Christian Schindelhauer

doi:10.3390/s21196332

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.

Highlights

Acoustic indoor localization systems, with applications in logistics, consumer electronics, health care, security, and catastrophe management, are required to be precise and reliable
We try to state that this simulation framework can be used to test acoustic indoor localization systems with a certain credibility
An end-to-end simulation framework was developed for a sample acoustic indoor localization system, and its usefulness was demonstrated by evaluating and analyzing the robustness and resilience of the system in the presence of disruptions

Summary

Introduction

With applications in logistics, consumer electronics, health care, security, and catastrophe management, are required to be precise and reliable. They should be resilient to expected disruptions [1,2,3,4]. Physical testing of these systems during the development phase can incur a huge amount of time, increasing the development and other overhead costs. Simulating the behavior of these systems can reduce time and money. As the performance of these systems is correlated to the operational environment in which they are employed, it is essential to simulate the behavior of the environment.

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