Height-finding for automotive THz radars

Sergei Shishanov, Aleksandr Bystrov, Edward Hoare, Andrew Stove, Marina Gashinova, Mikhail Cherniakov, Thuy-Yung Tran, Nigel Clarke

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)
507 Downloads (Pure)


This paper explores radar methods to measure the coordinates (distance and height) of objects on or beside a road. Knowledge of these parameters is essential in the development of autonomous or semi-autonomous cars, as well as to improve driving safety. It is shown that the height is best found by trilateration from sensors at multiple locations on a vehicle. The novelty of the work consists in the formulation of the problem and in its solution using a low-THz radar trilateration approach. The expressions obtained allow calculating the coordinates of targets using a number of different methods of radar trilateration. The influence of the system parameters on the accuracy of measurement using different methods of trilateration has been analyzed. The assumptions made were verified by the experimental system based on a 300-GHz ultra-wideband radar. Experimental results are in good agreement with theoretical calculations; they confirmed the practicality of obtaining high-accuracy height measurements on distributed targets such as pedestrians. The physical basis of the techniques developed would also allow the plan position of a target to be found using the same approach.

Original languageEnglish
Pages (from-to)1170 - 1180
JournalIEEE Transactions on Intelligent Transportation Systems
Issue number3
Early online date2 Aug 2018
Publication statusPublished - Mar 2019


  • Automotive applications
  • radar imaging
  • radar measurements.
  • radar remote sensing

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications


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