Abstract
This paper describes the development of a system for indoor intrusion detection that takes advantage of interference between asynchronous millimetre-wave radars. The approach exploits the information embedded in the interference pattern observed in the Doppler domain when two or more radars operate in a common environment and share the same frequency spectrum. By continuously monitoring the interference, it is possible to detect the corresponding energy variations. A sharp decrease in the interference energy is thus interpreted as an intrusion of an object or a person. Within this approach the source of the interference can be identified taking advantage of beam-forming of MIMO radars. Compared with the standard configuration, which exploits the reflection of radar signals, the proposed setup has the advantage of maximizing the energy available for intrusion detection and an increased capacity of obstacles and walls penetration. When combined with the capacity of mobile robots to dynamically position the radars, this scheme permits the implementation of highly versatile intrusion detection solutions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Adams, M., Adams, M.D., Jose, E.: Robotic Navigation and Mapping with Radar. Artech House, Norwood (2012)
Beise, H.P., Stifter, T., Schröder, U.: Virtual interference study for FMCW and PMCW radar. In: 2018 11th German Microwave Conference (GeMiC), pp. 351–354 (2018)
Brooker, G.M.: Understanding millimetre wave FMCW radars. In: 1st international Conference on Sensing Technology, pp. 152–157 (2005)
Galati, G., Piracci, E.G., Ferri, M.: High resolution, millimeter-wave radar applications to airport safety. In: 2016 8th International Conference on Ultrawideband and Ultrashort Impulse Signals (UWBUSIS), pp. 21–26. IEEE (2016)
Gonçalves, E.: Radar through wall system. Master’s thesis, University of Aveiro (2018)
Heuel, S.: Automotive radar interference test. In: 2017 18th International Radar Symposium (IRS), pp. 1–7. IEEE (2017)
Kiuru, T., Metso, M., Jardak, S., Pursula, P., Häkli, J., Hirvonen, M., Sepponen, R.: Movement and respiration detection using statistical properties of the FMCW radar signal. In: 2016 Global Symposium on Millimeter Waves (GSMM) and ESA Workshop on Millimetre-Wave Technology and Applications, pp. 1–4. IEEE (2016)
Ko, S., Yu, S., Kang, W., Park, C., Lee, S., Paik, J.: Artifact-free low-light video enhancement using temporal similarity and guide map. IEEE Trans. Industr. Electron. 64(8), 6392–6401 (2017)
Lee, S.Q., Park, K.H., Kim, K., Ryu, H., Wang, S.: Practical implementation of intrusion detection method based on the sound field variation. In: Proceedings of the 20th International Congress on Sound and Vibration, Bangkok, Thailand, pp. 7–11 (2013)
Morinaga, M., Nagasaku, T., Shinoda, H., Kondoh, H.: 24GHz intruder detection radar with beam-switched area coverage. In: 2007 IEEE/MTT-S International Microwave Symposium, pp. 389–392. IEEE (2007)
Nowok, S., Kueppers, S., Cetinkaya, H., Schroeder, M., Herschel, R.: Millimeter wave radar for high resolution 3D near field imaging for robotics and security scans. In: 2017 18th International Radar Symposium (IRS), pp. 1–10. IEEE (2017)
Wagner, J., Strobel, A., Joram, N., Eickhoff, R., Ellinger, F.: FMCW system aspects for multipath environments. In: 2011 8th Workshop on Positioning, Navigation and Communication, pp. 89–93. IEEE (2011)
Winkler, V.: Range Doppler detection for automotive FMCW radars. In: European Microwave Conference, pp. 1445–1448, October 2007
Acknowledgment
Project RETIOT, “Reflectometry Technologies to Enhance the Future Internet of Things and Cyber-Physical Systems”, funded by FEEI though COMPETE 2020 and Fundação para a Ciência e Tecnologia (FCT) under contract POCI-01-0145-FEDER-016432. This work is also financed by national funds through FCT under the project UID/CEC/00127/2019 and the project UID/Multi/04016/2016. Furthermore we would like to thank the University of Aveiro (IEETA) and Polytechnic Institute of Viseu (CI&DETS) for their support.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Gonçalves, E.S., Teixeira, F.C., Albuquerque, D.F., Pedrosa, E.F. (2020). Asynchronous mmWave Radar Interference for Indoor Intrusion Detection. In: Silva, M., Luís Lima, J., Reis, L., Sanfeliu, A., Tardioli, D. (eds) Robot 2019: Fourth Iberian Robotics Conference. ROBOT 2019. Advances in Intelligent Systems and Computing, vol 1093. Springer, Cham. https://doi.org/10.1007/978-3-030-36150-1_30
Download citation
DOI: https://doi.org/10.1007/978-3-030-36150-1_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-36149-5
Online ISBN: 978-3-030-36150-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)