A Novel Target-Height Estimation Approach Using Radar-Wave Multipath Propagation for Automotive Applications

Author:

Laribi Amir,Hahn Markus,Dickmann Jürgen,Waldschmidt Christian

Abstract

Abstract. This paper introduces a novel target height estimation approach using a Frequency Modulation Continuous Wave (FMCW) automotive radar. The presented algorithm takes advantage of radar wave multipath propagation to measure the height of objects in the vehicle surroundings. A multipath propagation model is presented first, then a target height is formulated using geometry, based on the presented propagation model. It is then shown from Sensor-Target geometry that height estimation of targets is highly dependent on the radar range resolution, target range and target height. The high resolution algorithm RELAX is discussed and applied to collected raw data to enhance the radar range resolution capability. This enables a more accurate height estimation especially for low targets. Finally, the results of a measurement campaign using corner reflectors at different heights are discussed to show that target heights can be very accurately resolved by the proposed algorithm and that for low targets an average mean height estimation error of 0.03 m has been achieved by the proposed height finding algorithm.

Publisher

Copernicus GmbH

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhanced Radar Perception via Multi-Task Learning: Towards Refined Data for Sensor Fusion Applications;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

2. Road Object Height Estimation Using Multipath Effect in Automotive Radar Measurements;2023 24th International Radar Symposium (IRS);2023-05-24

3. Radar Classification of Vehicles Using a Ground-Reflection Model;2022 Asia-Pacific Microwave Conference (APMC);2022-11-29

4. Urban Traffic Imaging Using Millimeter-Wave Radar;Remote Sensing;2022-10-28

5. Short Range Height Classification in FMCW Radar;2020 17th European Radar Conference (EuRAD);2021-01-10

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