PRECEDING TARGET DISCRIMINATION ALGORITHM BY SCANNING TYPE MILLI-METER WAVE (MMW) RADAR

This paper describes how beam scanning techniques can be applied to Milli-Meter Wave (MMW) radar to improve angular resolution, and detect target angular position accurately. Based on this angular information, in addition to range and range rate information, algorithms have been developed to accurately determine the most significant target in the host vehicle path. At first, an Intelligent Cruise Control (ICC) system is surveyed and the relationship of a radar sensor to ICC system issue is referred to as an introduction. Second, a method of target angular position measurement by using a scanning type radar is described. Third, an estimation method of host vehicle path is performed and followed by combining angular information and range and range rate information. An algorithm to stably and accurately discriminate the most significant target for a host vehicle is described. In addition, a result of target discrimination performance by using the above algorithm compared with conventional method, is shown. As a result of this development, false detections of adjacent vehicles and loss of real targets around curves, which have been main performance issues, have been much improved.

Language

  • English

Media Info

  • Pagination: n.p.

Subject/Index Terms

Filing Info

  • Accession Number: 00741516
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Sep 4 1997 12:00AM