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LTE-based passive multistatic radar for high-speed railway network surveillance: design and preliminary results

Published online by Cambridge University Press:  25 March 2019

Rodrigo Blázquez-García Open the ORCID record for Rodrigo Blázquez-García [Opens in a new window] ,
Jorge Casamayón-Antón  and
Mateo Burgos-García
Rodrigo Blázquez-García
Affiliation:
Information Processing and Telecommunications Center, Universidad Politécnica de Madrid, Madrid, Spain
Jorge Casamayón-Antón
Affiliation:
Information Processing and Telecommunications Center, Universidad Politécnica de Madrid, Madrid, Spain
Mateo Burgos-García*
Affiliation:
Information Processing and Telecommunications Center, Universidad Politécnica de Madrid, Madrid, Spain
*
Author for correspondence: Mateo Burgos-García E-mail:mateo@gmr.ssr.upm.es
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Abstract

With the aim of performing perimeter surveillance of high-speed railway networks, this paper presents the design of a passive multistatic radar system based on the use of Long-Term Evolution (LTE) downlink signals as the illumination of opportunity. Taking into account the specifications and standard of the LTE system, the ambiguity function of measured downlink signals is analyzed in terms of range and Doppler resolution, ambiguities, and sidelobe level. The deployment of the proposed passive radar is flexible and scalable, and it is based on multichannel software defined radio receivers that obtain the reference and surveillance signals by means of digital beamforming. The signal processing and data fusion are based, respectively, on the delay-Doppler cross-correlation with the reconstructed reference signals and a two-stage tracking at sensor and central level. Finally, the performance of the proposed system is estimated in terms of its maximum detection range and simulation results of the detection of moving targets are presented, demonstrating its technical feasibility for the short-range detection of pedestrians, vehicles, and small drones.

Keywords

Drone detectionLTEpassive radarradar architecture and systemsperimeter surveillance
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 11 , Special Issue 5-6: EuMW 2018 Special Issue (Part I) , June 2019 , pp. 482 - 489
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2019 

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References

1Henríquez BL, Pérez and Deakin, E (eds) (2017) High-Speed Rail and Sustainability: Decision-Making and the Political Economy of Investment. New York: Routledge.Google Scholar
2Indra Sistemas Perimeter protection: Fencing. [Online]. Available at: https://www.indracompany.com/en/perimeter-protection-fencing.Google Scholar
3Systems FLIR Uncompromising vision in the pursuit of security. [Online]. Available at: https://www.flir.com/applications/security/.Google Scholar
4Advanced Radar Technologies ART Drone Sentinel. [Online]. Available at: http://www.advancedradartechnologies.com/products/art-drone-sentinel/.Google Scholar
5Liu, A, Yang, Q, Zhang, X and Deng, W (2017) Collision avoidance radar system for the bullet train: implementation and first results. IEEE Aerospace and Electronics Systems Magazine 32, 4–17.Google Scholar
6Colone, F, Bongioanni, C and Lombardo, P (2013) Multifrequency integration in FM radio-based passive bistatic radar. Part II: direction of arrival estimation. IEEE Aerospace and Electronics Systems Magazine 28, 40–47.Google Scholar
7Fang, G, Yi, J, Wan, X, Liu, Y and Ke, H (2018) Experimental research of multistatic passive radar with a single antenna for drone detection. IEEE Access 6, 33542–33551.Google Scholar
8Chetty, K, Chen, Q and Woodbridge, K (2016) Train monitoring using GSM-R based passive radar, 2016 IEEE Radar Conference, Philadelphia, PA, USA.Google Scholar
9Blázquez-García, R, Casamayón-Antón, J and Burgos-García, M (2018) LTE-R based passive multistatic radar for high-speed railway network surveillance, 15th European Radar Conference, Madrid, Spain.Google Scholar
10He, R, Ai, B, Wang, G, Guan, K, Zhong, Z, Molisch, AF, Briso-Rodriguez, C and Oestges, CP (2016) High-speed railway communications: from GSM-R to LTE-R. IEEE Vehicular Technology Magazine 11, 49–58.Google Scholar
11Solanki, PKS (2017) Implementation of high speed railway mobile communication system. International Journal on Recent and Innovation Trends in Computing and Communication 5, 41–44.Google Scholar
12Zhou, T, Tao, C, Salous, S, Liu, L and Tan, Z (2016) Implementation of an LTE-based channel measurement method for high-speed railway scenarios. IEEE Transactions on Instrumentation and Measurement 65, 25–36.Google Scholar
13Choi, HY, Song, Y and Kim, YK (2014) Standard of future railway wireless communication in Korea, 8th International Conference on Communications and Information Technology, Tenerife, Spain.Google Scholar
14European Telecommunications Standards Institute (ETSI) (2017) ETSI TS 136 211: LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Physical channels and modulation (GPP TS 36.211 version 14.2.0 Release 14).Google Scholar
15Baker, CJ, Griffiths, HD and Papoutsis, I (2005) Passive coherent location radar systems. Part 2: waveform properties. IEE Proceedings-Radar Sonar And Navigation 152, 160–168.Google Scholar
16Saini, R and Cherniakov, M (2005) DTV signal ambiguity function analysis for radar application. IEE Proceedings-Radar Sonar And Navigation 152, 133–142.Google Scholar
17Griffiths, HD and Baker, CJ (2005) Passive coherent location radar system. Part 1: performance prediction. IEE Proceedings-Radar Sonar And Navigation 152, 153–159.Google Scholar
18Colone, F, Falcone, P, Bongioanni, C and Lombardo, P (2012) WiFi-based passive bistatic radar: data processing schemes and experimental results. IEEE Transactions on Aerospace and Electronic Systems 48, 1061–1079.Google Scholar
19Lombardo, P and Colone, F (2013) Advanced processing methods for passive bistatic radar systems. In Melvin, WL and Scheer, JA (eds), Principles of Modern Radar: Advanced Techniques. Edison, NJ: SciTech Publishing, pp. 739–821.Google Scholar
20Rohling, H (1983) Radar CFAR thresholding in clutter and multiple target situations. IEEE Transactions on Aerospace and Electronic Systems 19, 608–621.Google Scholar
21León-Infante, F, González-Partida, J, Blázquez-García, R and Burgos-García, M (2014) Processing chain of a radar network for safety improvement in the usage of heavy machinery, 12th European Radar Conference, Paris, France.Google Scholar
22Malanowski, M, Kulpa, K and Suchozebrski, R (2009) Two-stage tracking algorithm for passive radar, 12th International Conference on Information Fusion, Seattle, WA, USA.Google Scholar
23Flöster, F and Rohling, H (2005) Data association and tracking for automotive radar networks. IEEE Transactions on Intelligent Transportation Systems 6, 370–377.Google Scholar
24Pisa, S, Piuzzi, E, Pittella, E, Lombardo, P, Genovese, A, Bloisi, D, Nardi, D, d'Atanasio, P and Zambotti, A (2018) Numerical and experimental evaluation of the radar cross section of a drone, 15th European Radar Conference, Madrid, Spain.Google Scholar
25Malanowski, M, Kulpa, K, Kulpa, J, Samczynski, P and Misiurewicz, J (2014) Analysis of detection range of FM-based passive radar. IET Radar, Sonar and Navigation 8, 153–159.Google Scholar