Moving Vehicle Detection and Parameter Extraction in Tunnel Scene Based on 3D-FFT

Millimeter wave radar is widely used in the field of moving vehicle detection and parameter extraction. Because of its advantages of high precision, all-weather and high-speed motion detection capability. The traditional moving vehicle detection and parameter extraction based on 3D-FFT (Three-Dimensional Fast Fourier Transform) algorithm, but this traffic monitoring radar signal processing algorithm is typically used in in open scenes. In the tunnel scene, there is no relevant research and test report on motion parameter extraction and target detection of moving vehicles using 3D-FFT algorithm. This paper intend to applied and test the 3D-FFT algorithm's performance in tunnel scene with real data. By monitoring the traffic of moving cars in the tunnel, using the real data collected by Tl's 1243BOOST millimeter wave radar, the 3D-FFT algorithm is test and evaluated on the influence of possible multipath interference on the detection and parameter extraction of moving vehicles. It is hoped that it will be helpful to evaluate the property index of 3D-FFT algorithm in the future tunnel scene.