Large-scale sparse array antenna efficient comprehensive method based on adaptive probability learning

Abstract

The invention discloses a large-scale sparse array antenna efficient comprehensive method based on adaptive probability learning, and solves the problems of poor radiation characteristics and low efficiency caused by poor gradient density distribution of antenna units in an array aperture and high side lobe of a directional diagram in large-scale array antenna sparse array synthesis. According tothe method, the layout of a sparse array is combined with selection probability estimation of antenna units, an array comprehensive problem is combined with optimization of an adaptive probability learning model, and the method comprises the implementation steps of randomly initializing antenna array element distribution, and constructing an initial probability estimation model; rapidly calculating a far-field directional diagram through the excitation coefficient by means of fast Fourier transform; generating a new solution to participate in competition according to the probability model based on a probability learning strategy; adjusting a far-field directional diagram; array element excitation is obtained through fast Fourier transform, and updating the probability model. When the target function requirement is met or the maximum iteration frequency is reached, the optimal sparse array scheme is output, and the comprehensive problem of the large sparse array antenna is solved.

Description

technical field [0001] The invention relates to the technical field of array antennas, and relates to a sparse array antenna method, in particular to a sparse design of a large array antenna, and in particular to an efficient synthesis method for a large sparse array antenna based on adaptive probability learning. Background technique [0002] Large-scale array antennas have the characteristics of high gain and narrow beam. In the fields of long-distance detection and identification, large-scale arrays play an irreplaceable role. However, with the increase of the aperture of the array antenna, the number of units increases sharply, and the system complexity and production cost also increase accordingly. Therefore, in applications that mainly require narrow beams and do not pursue maximum gain, a sparse array can be formed by removing some antenna elements in the full array without obviously broadening the beam. Sparse arrays contribute to the light weight and low cost of ar...

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Problems solved by technology

[0004] The technical problems to be solved by the present invention are: for the comprehensive existence of a large sparse array antenna, the response time is long, the efficiency is not high, the gradient density distribution of the antenna elements in the array aperture is not good, and then the side lobes of the array antenna pattern are high, and the anti-interference The problem of weak ability and poor radiation effect

Most of the existing technologies regard the excitation of the array unit as an unknown quantity, regard the sparseness of the array as a parameter optimization problem, and realize the selection of the unit by optimizing the unit excitation coefficient, but the optimization method currently used cannot efficiently adapt to the array antenna. The large-scale expansion of large-scale, the comprehensive time-consuming is too long, the convergence quality is poor, and it is easy to fall into the local optimum

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