3DRUDAT: 3D Robust Unambiguous Doppler Beam Sharpening Using Adaptive Threshold for Forward-Looking Region
Sen Yuan, Francesco Fioranelli, Alexander G. Yarovoy
Abstract
The problem of 3D high resolution imaging in automotive multiple-input and multiple-output (MIMO) forward-looking radar has been studied. The coupling between the azimuth and elevation angle estimation and the ambiguity problem of the forward-looking Doppler beam sharpening are addressed jointly in the proposed novel algorithm, named ’3D robust unambiguous Doppler beam sharpening with adaptive threshold’ ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3DRUDAT</i> ). The performance of the algorithm has been studied in simulations and with an experimental dataset, using the image contrast and the F1-score of the voxelisation as proposed metrics to evaluate the 3D imaging results. Furthermore, the theoretical analysis of the improvement of the algorithm has been discussed with respect to more conventional approaches.