Automotive FMCW radar interference analysis for different scenarios

Master Thesis (2023)
Authors

Y. Chen (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Supervisors

A. Yarovyi (TU Delft - Microwave Sensing, Signals & Systems)

U. Kumbul (TU Delft - Microwave Sensing, Signals & Systems)

Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright
© 2023 Yue Chen
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Yue Chen
Graduation Date
13-04-2023
Awarding Institution
Delft University of Technology
Programme
Electrical Engineering
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
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Abstract

The increasing use of automotive radars on roads has led to a significant issue of mutual interference between them. To better understand the characteristics and impact of this interference, it is necessary to perform analytical investigations of FMCW radar-to-radar interference. This thesis presents analytical models for FMCW-to-FMCW mutual interference in ideal conditions, categorizing them into four cases based on different parameters: fully synchronous, generally synchronous, periodically asynchronous, and aperiodically asynchronous. The impact of these types of interference is evaluated on the probability of detection and false alarm probability using CFAR.

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