Sparse array method for large-spacing wide-angle scanning millimeter wave phased-array antenna

Abstract

The invention discloses a sparse array method for a large-spacing wide-angle scanning millimeter wave phased-array antenna, and aims to provide a sparse array method which is simple and time-saving, large in unit spacing, macroscopically uniform in grids, low in side lobe, free of grating lobes and high in large-scanning-angle gain. According to the technical scheme, a rectangular coordinate system is constructed with a center of an array as an original point of coordinates, and the coordinate positions of antenna units are calculated according to Fibonacci grids; a helix angle growth coefficient is selected according to a wavelength corresponding to the working frequency of the antenna, and the position coordinates of n antenna units are calculated according to a helix formula with an unit of meter and Fibonacci number; based on the disordered arrangement of the annular sparse array, the number of Fibonacci grid antenna units is set, and the antenna units are aperiodically arranged byusing a Fibonacci spiral curve composition method; and n antenna units are spirally arranged along the Fibonacci to form a non-equidistant involute spiral large-spacing wide-angle scanning millimeterwave phased array which expands outwards at equal intervals according to an arc radius and is gradually far away from a circle center.

Description

technical field [0001] The invention relates to a phased array antenna which is widely used in radar, communication and other fields and has wide-angle scanning capability. Especially for high-density integrated phased array antennas in the communication field, the wide-angle sparse array method with large average spacing and macro-uniform grid. Background technique [0002] Phased array antennas control the amplitude and phase excitation of each radiating antenna element in order to achieve arbitrary beam pointing within the required airspace. The change of the amplitude and phase of the antenna unit needs to be realized by the corresponding transceiver circuit at the back end. Generally, the number of channels of the transceiver circuit is the same as the number of antenna units, so the length and width of the grid area occupied by the transceiver circuit of one channel are usually equal to the antenna cell spacing. [0003] In the field of millimeter-wave communication ...

AI Technical Summary

Problems solved by technology

In traditional engineering, genetic algorithm and particle swarm algorithm are often used to find the global optimal random array. Since there is no obvious mathematical and physical correspondence, it leads to many unknowns, large amount of calculation, and slow convergence.

Moreover, the sparse arrays designed by traditional optimization algorithms are usually locally densely distributed and not uniform enough. In order to reduce the unknown quantity, the arrays are often simplified, such as random arrays of sub-arrays, but the results are not ideal, and it is difficult to put them into engineering applications.

In addition, the traditional sparse array only considers the realization of electrical performance, and usually does not consider the macroscopic symmetry of the array grid, making it difficult to realize large-scale array back-end circuits.

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