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Estimation techniques and simulation platforms for 77 GHz FMCW ACC radars

Published online by Cambridge University Press:  28 November 2011

A. Bazzi
Affiliation:
Institut TELECOM, TELECOM Bretagne, Lab-STICC, Technopôle Brest Iroise, CS 83818, 29238 Brest Cedex 3, France
C. Kärnfelt
Affiliation:
Institut TELECOM, TELECOM Bretagne, Lab-STICC, Technopôle Brest Iroise, CS 83818, 29238 Brest Cedex 3, France
A. Péden
Affiliation:
Institut TELECOM, TELECOM Bretagne, Lab-STICC, Technopôle Brest Iroise, CS 83818, 29238 Brest Cedex 3, France
T. Chonavel*
Affiliation:
Institut TELECOM, TELECOM Bretagne, Lab-STICC, Technopôle Brest Iroise, CS 83818, 29238 Brest Cedex 3, France
P. Galaup
Affiliation:
Institut TELECOM, TELECOM Bretagne, Lab-STICC, Technopôle Brest Iroise, CS 83818, 29238 Brest Cedex 3, France
F. Bodereau*
Affiliation:
Autocruise, a TRW Automotive branch, 29280 Plouzané, France
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Abstract

This paper presents two radar simulation platforms that have been developed and evaluated. One is based on the Advanced Design System (ADS) and the other on Matlab. Both platforms are modeled using homodyne front-end 77 GHz radar, based on commercially available monolithic microwave integrated circuits (MMIC). Known linear modulation formats such as the frequency modulation continuous wave (FMCW) and three-segment FMCW have been studied, and a new variant, the dual FMCW, is proposed for easier association between beat frequencies, while maintaining an excellent distance estimation of the targets. In the signal processing domain, new algorithms are proposed for the three-segment FMCW and for the dual FMCW. While both of these algorithms present the choice of either using complex or real data, the former allows faster signal processing, whereas the latter enables a simplified front-end architecture. The estimation performance of the modulation formats has been evaluated using the Cramer-Rao and Barankin bounds. It is found that the dual FMCW modulation format is slightly better than the other two formats tested in this work. A threshold effect is found at a signal-to-noise ratio (SNR) of 12 dB which means that, to be able to detect a target, the SNR should be above this value. In real hardware, the SNR detection limit should be set to about at least 15 dB.

Type
Research Article
Copyright
© EDP Sciences, 2011

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References

http://epp.eurostat.ec.europa.eu/, homepage of Eurostat of the European Commission, consulted the 12 0March 2009
European Commission [Online], eSafety Compendium, 0May 2006, http://www.esafetysupport.org/download/eSafety_Activities/1.pdf
ETSI EN 302 288-1, Electromagnetic Compatibility and Radio spectrum Matters (ERM); Short Range Devices; Road Transport and Traffic Telematics (RTTT); Short Range Radar Equipment Operating in the 24 GHz range; Part 1: Technical Requirements and Methods of Measurement (European Telecommunications Standards Institute, 0December 2005)
ETSI TR 101 983 V1.1.1, Electromagnetic compatibility and Radio spectrum Matters (ERM); Radio Equipment to be Used in the 76 GHz to 77 GHz band; System Reference Document for Short-Range Radar to be Fitted on Road Infrastructure (European Telecommunications Standards Institute, 0July 2001)
Scheiblhofer, S., Treml, M., Schuster, S., Feger, R., Stelzer, A., A versatile FMCW radar system simulator for millimeter-wave applications, in Proc. of 38th Eur. Microwave Conf, Amsterdam, The Netherlands, 2008, pp. 16041607Google Scholar
Cojocaru, R.I., Moldovan, E., Boukari, B., Affes, S., Tatu, S.O., A new 77 GHz automotive phase coded CW multiport radar sensor architecture, in Proc. of 5th Eur. Radar Conf, Amsterdam, The Netherlands, 2008, pp. 164167Google Scholar
Van, H., Trees, Detection, Estimation and Modulation, Part 3 (Wiley, New York, 2001)Google Scholar
Barankin, E.W., Ann. Math. Statist. 20, 447 (1949)CrossRef
Levanon, N., Radar Signals (Wiley, New York, 2004)CrossRefGoogle Scholar
Meinecke, M.M., Rohling, H., Combination of LFMCW and FSK Modulation Principles for Automotive Radar systemes, in German Radar Symposium GRS 2000, Berlin, 2000Google Scholar
Artis, J.P., Kemkemian, S., Ann. Telecom. 60, 326 (2005)
Miyahara, S., New Algorithm for Multiple Object Detection in the FMCW Radar, SAE Technical Paper Series, 2004-01-0177
Kok, D., Fu, J.S., Signal Processing for Automotive Radar, in 2005 IEEE Int. Radar Conf., Arlington, VA, USA (2005), pp. 842846Google Scholar
Blackman, S., Popoli, R., Design and Analysis of Modern Tracking System (Artech House, Norwood, MA, 1999)Google Scholar
Kay, S.M., Modern Spectral Estimation – Theory and Applications (Prentice Hall, Englewood Cliffs, NJ, 1988)Google Scholar
Li, Z., Lee, S.R., Wang, B., Du, Z., Study on Reducing False Target for Automotive Radar, in Proc. of 7th Int. Conf. on Signal Processing (ICSP’04), Beijing, 2004, vol. 3, pp. 20742077Google Scholar
Atallah, L., Barbot, J.P., Larzabal, P., IEEE Electron. Lett. 40, 279 (2004)CrossRef
Pinkus, A., Tabrikian, J., Barankin bound for range and Doppler estimation using orthogonal signal transmission, in IEEE Conf. on Radar, Verona, NY, USA, 2006, pp. 9499Google Scholar
Suzuki, H., JARI Res. J. 22, 475 (2000)
Yamada, N., Radar cross section for pedestrian in 76 GHz, in Proc. of 2005 Eur. Microwave Conf., vol. 2, (Amsterdam, The Netherlands, 2004), pp. 4651Google Scholar
Schneider, R., Blöcher, H.L., Strohm, K.M., KOKON – Automotive High Frequency Technology at 77/79 GHz, in Proc. of 4th Eur. Radar Conf., Munich, Germany, 2007, pp. 247250Google Scholar
Schuler, K., Becker, D., Wiesbeck, W., IEEE Trans. Antennas Propag. 56, 3543 (2008)CrossRef
Kärnfelt, C., Péden, A., Bazzi, A., El Haj Shhad, G., Abbas, M., Chonavel, T., Bodereau, F., 77 GHz ACC Radar Simulation Platform, in Proc. of the 2009 Int. Transport System Technology Symposium, Lille, 2009Google Scholar
Oppenheim, A.V., Schafer, R.W., Discrete-Time Signal Processing (Prentice Hall, Englewood Cliffs, NJ, 1989), pp. 447501Google Scholar
Chonavel, T., Statistical Signal Processing (Springer, London, 2002)CrossRefGoogle Scholar
Rohling, H., Mende, R., OS CFAR Performance in a 77 GHz Radar Sensor For Car application, in CIE Int. Conf. of Radar, Beijing, China, 1996, pp. 109114Google Scholar
Rohling, H., Some Radar Topics: Waveform Design, Range CFAR and Target Recognition (Technical University Hamburg-Harburg, Hamburg, Germany, 2004)Google Scholar
American National Standards Institute, American National Standard safety levels with respect to human exposure to radio frequency electromagnetic fields, 300 kHz to 100 GHz, 0September 1982