Study on Reducing False Targets for Anti-collision Radar in Intelligence Transportation System

Author

Li, Zhigang ; Fan, Lina ; He, Zhonghai

Author_Institution

Dept. of Autom. Eng., Northeastern Univ., Qinhuangdao

Volume

2

fYear

0

fDate

0-0 0

Firstpage

8572

Lastpage

8576

Abstract

A novel waveform named double-slope symmetrical saw-tooth wave is presented and its corresponding algorithm is also introduced to resolve the problem of multiple targets detection for automotive anti-collision radar. The method by using the proposed waveform and algorithm improves the response characteristic of radar system and reduces false targets in detection process. Computer simulation results and theoretical analysis prove that the method is effective and practical for multiple targets detection in intelligence transportation system

Keywords

collision avoidance; knowledge based systems; object detection; radar detection; road vehicle radar; road vehicles; traffic engineering computing; automotive anticollision radar; double-slope symmetrical saw-tooth wave; false targets; intelligent transportation system; multiple target detection; radar system; Automation; Automotive engineering; Computer simulation; Field-flow fractionation; Helium; Intelligent control; Intelligent transportation systems; Intelligent vehicles; Object detection; Radar detection; anti-collision radar; false targets; intelligence transportation system; waveform;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713653

Filename

1713653