FMCW Chirp Diversity for Mutual Interference Mitigation in Short-range Automotive Radars under Realistic Traffic Model

摘要

With the worldwide harmonized frequency allocation for automotive radars and increasing rate of modern vehicles equipped with radar systems, mutual interference among automotive radars is becoming a key problem. This paper presents a novel approach for mutual interference mitigation based on diverse waveform design by imposing time and frequency diversity to frequency modulated continuous wave (FMCW) chirp signal considering 79 GHz short-range automotive radar. Performance of the proposed waveform in terms of auto-correlation and cross-correlation has been investigated using software-defined radio (SDR) transceiver and measurement results are provided. The system concept is validated by developing an automotive radar channel model considering a realistic 3D road traffic scenario using a ray-tracing tool. Theoretical analysis and simulation examples of different mutual interference scenarios in an automotive environment are provided to evaluate the effectiveness of the proposed method. Results show that the proposed waveform is able to detect the targets of interest successfully while mitigating the false targets in mutual interference environments.