Design of an FMCW radar baseband signal processing system for automotive application

Jau Jr Lin, Yuan Ping Li, Wei Chiang Hsu, Ta Sung Lee

Research output: Contribution to journalArticle

17 Citations (Scopus)


For a typical FMCW automotive radar system, a new design of baseband signal processing architecture and algorithms is proposed to overcome the ghost targets and overlapping problems in the multi-target detection scenario. To satisfy the short measurement time constraint without increasing the RF front-end loading, a three-segment waveform with different slopes is utilized. By introducing a new pairing mechanism and a spatial filter design algorithm, the proposed detection architecture not only provides high accuracy and reliability, but also requires low pairing time and computational loading. This proposed baseband signal processing architecture and algorithms balance the performance and complexity, and are suitable to be implemented in a real automotive radar system. Field measurement results demonstrate that the proposed automotive radar signal processing system can perform well in a realistic application scenario.

Original languageEnglish
Article number42
Pages (from-to)1-16
Number of pages16
Issue number1
Publication statusPublished - 2016 Dec 1


All Science Journal Classification (ASJC) codes

  • General

Cite this