Research on Target Recognition of the Millimeter Wave Car Collision Avoidance Radar Based on the LFMCW

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Abstract:

When adding zero to the the sampling points or weighting the sampling points to suppress the sidelobe, the result of the one-dimensional FFT processing for the target echo will appear multiple lines in the the main lobe of the spectrum. It creates fuzzy targets which we can not distinguish it is a target or multiple targets. To solve this problem, we proposed a correction algorithm. By the correction algorithm, the multiple lines in the main lobe of the spectrum can be corrected to be a single line in the main lobe. It solves the problem of fuzzy targets and improves the distance accuracy of the radar.

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244-247

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October 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Janssonj, Johannssonj. Decision making for collision avoidance system. Society of Automotive Engineers. Pennsylvania: World Headquarters, (2002).

Google Scholar

[2] Mark. E, Russell. Millimeter-Wave Radar Sensor for Automotive Intelligent Cruise Control (AICC). IEEE Transaction on Microwave Theory and Techniques, NO. 12, December 1997: 324-326.

DOI: 10.1109/22.643858

Google Scholar

[3] Wenger. J, Hahn.S. Long Range and Ultra-Wideband Short Range Automotive Radar. Ultra-Wideband, 2007, 2007: 518-522.

DOI: 10.1109/icuwb.2007.4381000

Google Scholar

[4] Behet.M. Low Cost MMICS for Automotive Radar and Passive Radiometric Imaging Applications. MM-Wave Products and Technologies, 2006 58-62.

DOI: 10.1049/ic:20060110

Google Scholar

[5] Young-Kil Kwag, Min-Su Choi, Chul-Ho Jung. An Adaptive Compensation of Moving Clutter Doppler Shift for Helicopter MTD Radar. Radar, 2006, CIE'06, 16-19 Oct. 2006: 1-4.

DOI: 10.1109/icr.2006.343232

Google Scholar