Hostname: page-component-cd9895bd7-jn8rn Total loading time: 0 Render date: 2024-12-18T16:10:57.510Z Has data issue: false hasContentIssue false

OFDM waveform for distributed radar sensing in automotive scenarios

Published online by Cambridge University Press:  01 July 2020

Steffen Schieler*
Affiliation:
Technische Universität Ilmenau, Ilmenau, Germany
Christian Schneider
Affiliation:
Technische Universität Ilmenau, Ilmenau, Germany Fraunhofer Institute for Integrated Circuits, Ilmenau, Germany
Carsten Andrich
Affiliation:
Technische Universität Ilmenau, Ilmenau, Germany
Michael Döbereiner
Affiliation:
Fraunhofer Institute for Integrated Circuits, Ilmenau, Germany
Jian Luo
Affiliation:
Huawei Technologies Düsseldorf GmbH, Munich, Germany
Andreas Schwind
Affiliation:
Technische Universität Ilmenau, Ilmenau, Germany
Reiner S. Thomä
Affiliation:
Technische Universität Ilmenau, Ilmenau, Germany
Giovanni Del Galdo
Affiliation:
Technische Universität Ilmenau, Ilmenau, Germany Fraunhofer Institute for Integrated Circuits, Ilmenau, Germany
*
Author for correspondence: Steffen Schieler, E-mail: [email protected]

Abstract

In this paper, an orthogonal frequency-division multiplexing (OFDM) waveform radar sensing approach is demonstrated based on field measurements at C-band. We demonstrate a concept that is based on the exploitation of typical wireless communication transmissions to perform passive, distributed radar sensing. Our concept is based on an OFDM radar that operates in the modulation symbol domain and can be well integrated into existing OFDM receivers. The measurement setup and the signal processing steps for the OFDM radar are described. The results show that the passive, distributed radar sensing approach can be used to detect and localize moving cars and even pedestrians in automotive intersection scenarios.

Type
Research Paper
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bourdoux, A, Parashar, K and Bauduin, M (2017) Phenomenology of mutual interference of FMCW and PMCW automotive radars. 2017 IEEE Radar Conference (RadarConf).CrossRefGoogle Scholar
Aydogdu, C, Garcia, N, Hammarstrand, L, Wymeersch, H (2019) Radar communications for combating mutual interference of FMCW radars. 2019 IEEE Radar Conference (RadarConf).CrossRefGoogle Scholar
Thomä, RS, Andrich, C, Galdo, GD, Döbereiner, M, Hein, MA, Käske, M, Schäfer, G, Schieler, S, Schneider, C, Schwind, A and Wendland, P (2019) Cooperative passive coherent location: a promising 5G service to support road safety. IEEE Communications Magazine 57(9), 8692.CrossRefGoogle Scholar
Sturm, C and Wiesbeck, W (2011) Waveform design and signal processing aspects for fusion of wireless communications and radar sensing. Proceedings of the IEEE 99(7), 12361259.CrossRefGoogle Scholar
Debbah, M (2004) Short Introduction to OFDM. White Paper, Mobile Communications Group, Institut Eurecom.Google Scholar
Bello, P (1963) Characterization of randomly time-variant linear channels. IEEE Transactions on Communications 11(4), 360393.CrossRefGoogle Scholar
OpenStreetMap contributors (2020) Map retrieved from https://www.openstreetmap.de, https://www.openstreetmap.org.Google Scholar
Willis, NJ (2007) Advances in bistatic radar. Raleigh, NC (USA): SciTech Publishing Inc.CrossRefGoogle Scholar
Daun, M (2007) Multistatic target tracking for non- cooperative illuminating by DAB/DVB-T. OCEANS 2007 - Europe.CrossRefGoogle Scholar
Döbereiner, M, Käske, M, Schwind, A, Andrich, C, Hein, MA, Thomä, RS and Galdo, GD (2019) Joint high-resolution delay-doppler estimation for bi-static radar measurements. 16th European Radar Conference (EuRAD).Google Scholar
Thomä, RS, Landmann, M, Sommerkorn, G and Richter, A (2004) Multidimensional high-resolution channel sounding in mobile radio. Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference.Google Scholar