研究目的
Investigating the challenges of detection and correct assignment of multipath reflections in high-resolution near range radar sensors for vehicle environment perception.
研究成果
The presented work successfully analyzes and validates the emergence and behavior of radar-based multipath reflections, leading to false-positive targets. The geometric propagation model and experimental validations provide insights into the challenges for future high-resolution short-range radar sensors in vehicle environment perception. Future work should investigate the effects on object's velocity determination based on the Doppler effect.
研究不足
The study focuses on specific scenarios (highway barrier and urban driving) and may not cover all possible real-world environments. The effectiveness of absorption materials as a countermeasure is validated but may vary with different materials and conditions.
1：Experimental Design and Method Selection:
The study employs a novel geometric model to determine the relative positions from surrounding targets and reflection surfaces, assuming objects move on circular paths. It includes principles of electromagnetic wave propagation considering incident wave angles.
2：Sample Selection and Data Sources:
Radar measurements were conducted with an experimental target and a highway barrier as a reflection surface in a deterministic test environment. A realistic urban driving scenario was also reconstructed.
3：List of Experimental Equipment and Materials:
The INRAS RadarLog with a ULA frontend (2 transmit and 16 serial fed patch receive antennas) was used. Absorption materials were installed at intense reflection areas.
4：Experimental Procedures and Operational Workflow:
Measurements were carried out with and without echoic panels to validate multipath propagation assumptions. A real vehicle was used in a reconstructed intersection crossing scenario.
5：Data Analysis Methods:
The raw data processing of the sampled IF-signals was done in MATLAB, applying three orthogonal discrete Fourier transformations along the variables tn, n, and l for frequency estimation.
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