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Range-speed mapping and target-classification measurements of automotive targets using photonic-radar
Optical and Quantum Electronics ( IF 3.3 ) Pub Date : 2020-09-24 , DOI: 10.1007/s11082-020-02557-5
Vishal Sharma , Sergey Sergeyev , Love Kumar , Hani J. Kbashi

The frequency-modulated continuous-wave radar is an ideal choice for autonomous vehicle and surveillance-related industries due to its ability to measure the relative target-velocity, target-range, and target-characterization. Unlike conventional microwave radar systems, the photonic radar has the potential to offer wider bandwidth to attain high range-resolution at low input power requirements. Subsequently, a frequency-modulated continuous-wave photonic-radar is developed to measure the target-range and velocity of the automotive mobile targets concurrently with acceptable rang resolution keeping in mind the needs of the state-of-the-art autonomous vehicle industry. Furthermore, the target-identification is also an important parameter to be measured to enable the futuristic autonomous vehicles for the recognition of the objects along with their dimensions. Therefore, the reported work is extended to characterize the target-objects by measuring the specular-reflectance, diffuse-reflectance, the ratio of horizontal-axis to vertical-axis, refractive index constants of the targets using the bidirectional reflectance distribution function. Furthermore, the reflectance properties of the target-objects are also measured with different operating wavelengths at different incident angles to assess the influence of the operating wavelength and the angle at which the radar-pulses incident on the surface of the targets. Moreover, to validate the performance of the demonstrated work, a comparison is also presented in distinction with the conventional microwave FMCW-RADAR.

中文翻译:

使用光子雷达的汽车目标的距离速度映射和目标分类测量

由于能够测量相对目标速度、目标距离和目标特征,调频连续波雷达是自动驾驶汽车和监控相关行业的理想选择。与传统的微波雷达系统不同,光子雷达有可能提供更宽的带宽,以在低输入功率要求下实现高距离分辨率。随后,开发了一种调频连续波光子雷达,以同时测量汽车移动目标的目标范围和速度,同时考虑到最先进的自动驾驶汽车行业的需求,同时具有可接受的距离分辨率。此外,目标识别也是一个重要的测量参数,使未来的自动驾驶汽车能够识别物体及其尺寸。因此,报告的工作扩展到通过使用双向反射分布函数测量目标的镜面反射、漫反射、水平轴与垂直轴的比率、折射率常数来表征目标物体。此外,还使用不同工作波长在不同入射角下测量目标物体的反射特性,以评估工作波长和雷达脉冲入射到目标表面的角度的影响。此外,为了验证演示工作的性能,
更新日期:2020-09-24
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