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Track-before-Detect Short Range Radar System for Industrial Applications

Title data

Reissland, Torsten ; Sporer, Michael ; Scheiner, Benedict ; Pflaum, Felix ; Hagelauer, Amelie ; Weigel, Robert ; Lurz, Fabian:
Track-before-Detect Short Range Radar System for Industrial Applications.
In: 2020 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNeT). - Piscataway, NJ , 2020 . - pp. 20-22
ISBN 978-1-7281-3355-3
DOI: https://doi.org/10.1109/WiSNeT46826.2020.9037506

Official URL: Volltext

Abstract in another language

This paper presents a multiplexed short range frequency modulated continuous wave (FMCW) radar system and an algorithmic approach for the detection of targets. The algorithm uses a heuristic particle filter to track potential targets before they are actually detected. The detection algorithm is compared to a well-known constant false alarm rate (CFAR) detector. The whole setup is tested on real-life data in an industrial scenario.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: CW radar; FM radar; Object detection; Particle filtering (numerical methods); Radar detection; Radar signal processing; Radar tracking
Institutions of the University: Faculties > Faculty of Engineering Science > Former Professors > Chair Communication Electronics - Univ.-Prof. Dr.-Ing. Amélie Marietta Hagelauer
Faculties
Faculties > Faculty of Engineering Science
Faculties > Faculty of Engineering Science > Chair Communication Electronics
Faculties > Faculty of Engineering Science > Former Professors
Result of work at the UBT: No
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 19 Nov 2020 10:20
Last Modified: 17 Oct 2022 08:10
URI: https://eref.uni-bayreuth.de/id/eprint/57401