Abstract
The employment of passive reflectors enables the millimeter-wave automotive radars to detect an approaching vehicle in non-line-of-sight conditions. In this paper, the installation of such reflectors above the sidewalk at an intersection is proposed and studied, avoiding pedestrians’ blockage and road dust effect at ground level. Through the analysis of the backscattering power, it is shown that the suggested scheme may detect an approaching vehicle in the blind zone at distances of 30…50 m to the intersection point. Additionally, the analysis shows that efficient operation is highly dependent on the spatial orientation and size of the reflector. Even a few degrees rotation may change the detecting range by several meters. In turn, the larger area of the reflector may cover longer detecting distances, improving the radar scheme’s overall performance. It is also shown that further performance enhancement can be achieved by employing a C-type radar, contributing an extra 5 dB to the backscattering power relative to an A-type radar. However, despite these improvements, the strongest scattering centre of the detectable vehicle is systematically identified to the bumper zone.
Highlights
M ILLIMETER-WAVE automotive radars have become an essential part of the modern adaptive cruise control systems (ACCs), a decades-old feature that maintains a safe distance between driving vehicles
The EM methodology builds on the radar range equation (RRE), calculating the proposed radar scheme’s backscattering power
The backscattering signal, arriving at the Rx antenna from the detectable vehicle, is subject to the shape of these angular-dependent fluctuations, while their specific effect on, e.g., the radar detection probability depends on radar waveform and detection signal processing method
Summary
M ILLIMETER-WAVE (mmWave) automotive radars have become an essential part of the modern adaptive cruise control systems (ACCs), a decades-old feature that maintains a safe distance between driving vehicles. In the existing literature, analyzing the backscattering properties of different vehicles at mmWave frequencies is a relatively popular topic, with the radar cross-section (RCS) being the primary metric To this end, the authors in [4] proposed a reliable methodology for measuring small and large targets at. The authors in [6] simulated and measured K-band scattering data of a civilian vehicle All these works mostly focus on vehicles’ backscattering properties and do not study any specific radar schemes or radar applications. There are many works dealing with co-channel interference – one of the primary limiting factors in automotive radar applications [7] In this regard, the authors in [8]–[10] seek to identify and suppress the interference by neural networks.
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