The invention relates to a
broadband planar array antenna light-operated beam forming method based on multi-task
sparse learning, and the method comprises the steps: deducing an
array factor expression of a
broadband array as priori knowledge through employing a rectangular
planar array antenna; constructing a multi-frequency-point beam joint optimization model of the
planar array antenna based on the neural network; based on the priori knowledge, calculating a total
loss function of the model by using expected
broadband array pattern data and a group inhaul cable regularization method, and training a multi-frequency-
spot beam joint optimization model; and based on the trained model, obtaining the optimal array
layout and the amplitude and
delay distribution of each
array element, and calculating to obtain a low-sidelobe directional diagram in which the
deflection angle is irrelevant to the frequency. According to the invention, the
deflection angle of the array
radiation beam is kept constant in a broadband range, and the problem of'beam squint 'of a traditional
phased array is solved; and meanwhile, the beam sidelobe level of each frequency point is effectively suppressed, and the
grating lobe problem of the uniform array on the broadband is avoided.