Research on Millimeter-Wave Radar Range-Doppler Quality Assessment and Target Simulation Testing Technology

Qitao Pan

Artificial Intelligence and Digital Technology, 2025, vol. 2, issue 1, 141-147

Abstract: This paper presents a systematic study on Range-Doppler quality assessment and target simulation testing technology for millimeter-wave radar systems. The investigation begins with an in-depth analysis of the fundamental principles of Range-Doppler generation, highlighting the physical mechanisms and signal processing techniques involved, as well as the key factors that influence the accuracy, resolution, and reliability of the Range-Doppler output. Building on this understanding, a hierarchical evaluation index system is developed to quantitatively assess Range-Doppler quality, incorporating multiple performance metrics such as resolution, signal-to-noise ratio, target detectability, and clutter suppression capability. To support practical validation, a comprehensive target simulation testing platform is designed, integrating precise hardware control with advanced software systems to create a reproducible and controllable testing environment. The platform allows for the simulation of diverse target scenarios, including varying ranges, velocities, radar cross sections, and complex motion patterns, enabling thorough evaluation under conditions that closely mimic real operational environments. Comparative analysis between the simulated data and measured radar data demonstrates high consistency in both Range-Doppler profiles and target detection performance, confirming the effectiveness and reliability of the proposed evaluation framework and simulation methodology. The results provide a robust foundation for the optimization of millimeter-wave radar systems, offering insights into performance benchmarking, calibration procedures, and the development of advanced testing strategies to enhance radar detection and target characterization capabilities.

Keywords: millimeter-wave radar; Range-Doppler quality; evaluation index; target simulation; new energy electric vehicles (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:axf:aidtaa:v:2:y:2025:i:1:p:141-147

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