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Beamforming imaging algorithm for FMCW MIMO radar based on threshold

WANG Wei, LIANG Dong, LIU Qi, DU Dong-zhen, DUAN Hai-tao   

  1. College of Automation, Harbin Engineering University, Harbin 150001, China
  • Online:2015-11-25 Published:2010-01-03

Abstract:

To solve the problem that false alarms caused by the grating lobes of traditional beamforming algorithms appear in the angular dimension of frequency modulated continuous wave multiple-input multiple-output (FMCW MIMO) radar’s imaging results, an improved imaging algorithm based on azimuth threshold is proposed. First, the range information and azimuth information of targets are extracted from the original data separately, and then a detection threshold is applied to the azimuth data after normalization so as to limit the appearance of false targets in angular dimension. Finally, range information and azimuth information are combined with each other to obtain the imaging results. Imaging simulation proves that the false alarm probability is obviously reduced by the algorithm, and the results of field experiments further verify the remarkable imaging performance of the proposed algorithm.

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