Next Article in Journal
Secure LoRa Firmware Update with Adaptive Data Rate Techniques
Next Article in Special Issue
W-Band Multi-Aspect High Resolution Range Profile Radar Target Classification Using Support Vector Machines
Previous Article in Journal
Driving Stress Detection Using Multimodal Convolutional Neural Networks with Nonlinear Representation of Short-Term Physiological Signals
Previous Article in Special Issue
Compressive Sensing-Based Radar Imaging and Subcarrier Allocation for Joint MIMO OFDM Radar and Communication System
 
 
Article

Lab-Based Evaluation of Device-Free Passive Localization Using Multipath Channel Information †

Institute of Traffic Telematics, Dresden University of Technology, 01069 Dresden, Germany
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in J. Ninnemann, P. Schwarzbach, A. Jung, O. Michler: “Device-Free Passive Localization Based on Narrowband Channel Impulse Responses” in Proceedings of the 2020 International Radar Symposium (IRS-2020), Warsaw, Poland, 5–8 October 2020.
Academic Editor: Raviraj Adve
Sensors 2021, 21(7), 2383; https://doi.org/10.3390/s21072383
Received: 17 February 2021 / Revised: 22 March 2021 / Accepted: 26 March 2021 / Published: 30 March 2021
(This article belongs to the Special Issue Signal Processing in Radar and Wireless Communication Systems)
The interconnection of devices, driven by the Internet of Things (IoT), enables a broad variety of smart applications and location-based services. The latter is often realized via transponder based approaches, which actively determine device positions within Wireless Sensor Networks (WSN). In addition, interpreting wireless signal measurements also enables the utilization of radar-like passive localization of objects, further enhancing the capabilities of WSN ranging from environmental mapping to multipath detection. For these approaches, the target objects are not required to hold any device nor to actively participate in the localization process. Instead, the signal delays caused by reflections at objects within the propagation environment are used to localize the object. In this work, we used Ultra-Wide Band (UWB) sensors to measure Channel Impulse Responses (CIRs) within a WSN. Determining an object position based on the CIR can be achieved by formulating an elliptical model. Based on this relation, we propose a CIR environmental mapping (CIR-EM) method, which represents a heatmap generation of the propagation environment based on the CIRs taken from radio communication signals. Along with providing imaging capabilities, this method also allows a more robust localization when compared to state-of-the-art methods. This paper provides a proof-of-concept of passive localization solely based on evaluating radio communication signals by conducting measurement campaigns in an anechoic chamber as a best-case environment. Furthermore, shortcomings due to physical layer limitations when using non-dedicated hardware and signals are investigated. Overall, this work lays a foundation for related research and further evaluation in more application-oriented scenarios. View Full-Text
Keywords: Device-Free Passive Localization (DFPL); Channel Impulse Response Environmental Mapping (CIR-EM); Wireless Sensor Networks (WSN); Ultra-Wide Band (UWB) Device-Free Passive Localization (DFPL); Channel Impulse Response Environmental Mapping (CIR-EM); Wireless Sensor Networks (WSN); Ultra-Wide Band (UWB)
Show Figures

Figure 1

MDPI and ACS Style

Ninnemann, J.; Schwarzbach, P.; Jung, A.; Michler, O. Lab-Based Evaluation of Device-Free Passive Localization Using Multipath Channel Information. Sensors 2021, 21, 2383. https://doi.org/10.3390/s21072383

AMA Style

Ninnemann J, Schwarzbach P, Jung A, Michler O. Lab-Based Evaluation of Device-Free Passive Localization Using Multipath Channel Information. Sensors. 2021; 21(7):2383. https://doi.org/10.3390/s21072383

Chicago/Turabian Style

Ninnemann, Jonas, Paul Schwarzbach, Andrea Jung, and Oliver Michler. 2021. "Lab-Based Evaluation of Device-Free Passive Localization Using Multipath Channel Information" Sensors 21, no. 7: 2383. https://doi.org/10.3390/s21072383

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop