DocumentCode :
3278392
Title :
Study on Automotive Anti-collision Radar System and Its Signal Processing Algorithm
Author :
Yurong, Wu ; Congling, Wang ; Xunbo, Li ; Chen, Zhou
Author_Institution :
Sch. of Mechatron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume :
1
fYear :
2009
fDate :
15-17 May 2009
Firstpage :
586
Lastpage :
590
Abstract :
Through analyzing the applied require for millimeter wave automotive anti-collision radar, we design the simple structure of radar system. For satisfying the demands of digital signal processing and dispatching affairs, the signal processor is designed by linking DSP and SCM. Considering the complexity of radar signal received, high efficient digital signal processing algorithms should be applied to radar. Useful targets can be detected in clutter through self-adaptive filtering, and the targets´ distance/velocity can be measured through frequency domain pairing. So we introduce a signal processing algorithm through combining self-adaptive filtering with frequency domain pairing in order to get the targets´ accurate distance/velocity information in clutter and multi-targets environment, and simulate the algorithm by computer. The simulation results prove that this algorithm is effective.
Keywords :
clutter; radar applications; road vehicle radar; signal processing; automotive anti-collision radar system; clutter detection; digital signal processing; dispatching affairs; frequency domain pairing; millimeter wave radar; radar signal; self-adaptive filtering; Automotive engineering; Clutter; Computational modeling; Digital signal processing; Filtering; Frequency domain analysis; Millimeter wave radar; Radar signal processing; Signal processing; Signal processing algorithms; LFMCW; algorithm; automotive anti-collision radar; millimeter wave; signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3600-2
Type :
conf
DOI :
10.1109/IFITA.2009.237
Filename :
5231704
Link To Document :
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