3D contour imaging based on a Millimeter wave MIMO radar

Abstract

Millimeter wave radar has the advantage of all-weather and all-day detection in a variety of scenarios, but its low angular resolution makes it difficult to meet the demand for three-dimensional imaging. In this paper, a 64 GHz MIMO millimeter wave radar with 20 Tx antennas and 20 Rx antennas is used to improve the angular resolution. The radar raw signal is first processed by a three-dimensional fast Fourier Transform (3D-FFT) algorithm. Then the target is extracted using the dual-channel constant false alarm detection (CFAR) algorithm, which can discriminate the cloud points in two dimensions simultaneously. Through bilinear interpolation of the cloud of points, a 3D contour image can be obtained. The radar imaging experiment is carried out with the metal ball pile as the target. The experimental results show that the radar can obtain a high resolution three-dimensional contour image.