Designing the Waveform Bandwidth and Time Duration of Automotive Radars for Better Collision Warning Performance

TL;DR

This paper proposes a method to optimize automotive radar waveform bandwidth and duration to improve collision warning performance while mitigating interference, by designing parameters based on a new performance metric.

Contribution

It introduces a performance-oriented waveform design approach for automotive radars that optimally utilizes bandwidth and duration under TBP constraints.

Findings

Proposed design outperforms existing parameter settings in system performance.

Optimized waveforms improve resource and energy efficiency.

Study quantifies how waveform parameters affect collision warning system performance.

Abstract

Automotive radar is a key component in an ADAS. The increasing number of radars implemented in vehicles makes interference between them a noteworthy issue. One method of interference mitigation is to limit the TBP of radar waveforms. However, the problems of how much TBP is necessary and how to optimally utilize the limited TBP have not been addressed. We take CWS as an example and propose a method of designing the radar waveform parameters oriented by the performance of CWS We propose a metric to quantify the CWS performance and study how the radar waveform parameters (bandwidth and duration) influence this metric. Then, the waveform parameters are designed with a limit on the TBP to optimize the system performance. Numerical results show that the proposed design outperforms the state-of-the-art parameter settings in terms of system performance and resource or energy efficiency.