A new method of multi-target detection for FMCW automotive radar

Yuanzhang Fan*, Kai Xiang, Jianping An, Xiangyuan Bu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Citations (Scopus)

Abstract

In multi-target situations, typically triangular FMCW radar brings out false targets and degrades the radar performance. A novel transmitted waveform and multi-target detection algorithm for automotive applications is presented in this paper. The proposed waveform is composed of three segments: up ramp, flat frequency and down ramp in every small period. Especially, the flat frequencies are modulated by a unique PN code sequence within a determinate frequency range. The unambiguous relative velocities detected in the flat frequency segment can cancel some false targets initially. Corresponding to the waveform, which combines the advantages of both FSK and FMCW formats, a progressive judgment algorithm is used in the continuous small period to further eliminate the false targets.

Original languageEnglish
Title of host publicationIET International Radar Conference 2013
Edition617 CP
DOIs
Publication statusPublished - 2013
EventIET International Radar Conference 2013 - Xi'an, China
Duration: 14 Apr 201316 Apr 2013

Publication series

NameIET Conference Publications
Number617 CP
Volume2013

Conference

ConferenceIET International Radar Conference 2013
Country/TerritoryChina
CityXi'an
Period14/04/1316/04/13

Keywords

  • Automotive radar
  • FMCW
  • Multi-target detection
  • Waveform design

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