Sparse sub-array and sparse array element antenna array integrated arranging method based on heredity algorithm

Abstract

The invention belongs to the technical field of antenna array arranging optimization, especially to an optimal arranging method of antenna arrays of a sub-array level, and relates to a sparse sub-array and sparse array element antenna array integrated arranging method based on a heredity algorithm. A sub-array level array idea and sparse array element arrangement are combined to establish an arranging model, the peak side-lobe level (PSLL) of the antenna array is set as a fitness function to establish an optimization model, and the heredity algorithm is employed to solve the optimal result of the optimization model. The combination of the sub-array level array idea and the sparse array element arrangement are combined to overcome the landform problem, sub-arrays can be flexibly divided for arrangement. The optimization method combining sparse sub-arrays and sparse array elements effectively lowers PSLL, which is substantially reduced when compared with a molecule array arranging method. The convergence speed of the method is five to ten times that of a conventional sparse array arranging method, and the convergence speed is substantially improved.

Description

technical field [0001] The invention belongs to the technical field of antenna array layout optimization, in particular to an optimal array layout method for sub-array-level antenna arrays, in particular to a comprehensive array layout method for sparse sub-arrays and sparse array elements based on genetic algorithms. Background technique [0002] The optimized array technology of the antenna array is based on the study of the relationship between the performance of the antenna array and the geometric structure of the array, and optimizes the design of the array structure, including the design of the shape of the array (such as straight lines, rings, squares, etc.) and the arrangement of the array elements. Location (sparse, sparse, etc.) design, etc.; its purpose is to obtain excellent performance indicators to meet the design requirements of the electronic system for the antenna array. The peak side lobe level (PSLL:Peak Side-Lobe Level) of the antenna is an important para...

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Problems solved by technology

[0004] Most of the existing array structures are evenly spaced array structures or sparsely distributed antenna array structures obtained by sparsely arranging elements within the aperture range. One or several constraints, such as a given geometric structure, number of array elements, and array aperture, etc., use each array element as a unit, and use various algorithms to optimize the spacing of all array elements in the array; the disadvantages of this method are: The flexibility of the array element layout is low, and the array elements need to be placed in a continuous aperture length area. In some modern engineering or military applications, it is hoped to break through geographical restrictions, so that the antenna array can be quickly deployed in terrain conditions. Relatively poor areas, so when encountering harsh terrain or a large disconnection somewhere in the middle of the array, the above array structure cannot meet the requirements; the second disadvantage is that the workload of this method is large, and when the number of array elements is large , the optimization of the spacing of all array elements will inevitably increase the amount of calculation; the third disadvantage is that the convergence speed of the algorithm is slow, and it takes hundreds to thousands of generations to reach stability

[0005] In addition, there are currently a small number of array planning and array element arrangement methods using molecular array technology, that is, to divide a large-scale uniform array according to a certain design structure into several sub-arrays with a small number of array elements, and the interior of the sub-array is uniform Array of array elements; the disadvantage of this arrangement method is that the optimization effect on the array pattern is not good, and its side lobe level is too high; the second is that there are still many array elements required and the cost is high

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