Combined optimization method used for synthesis of large-scale heterogeneous four-dimensional antenna array

A joint optimization and heterogeneous technology, applied in the direction of manufacturing antenna array devices, antenna combinations with different interactions, antenna arrays, etc., can solve the problems of slow convergence, infeasibility, low efficiency, etc., to improve speed and efficiency. , the effect of increasing speed and efficiency

Active Publication Date: 2017-01-11
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, for large-scale four-dimensional array synthesis, it seems powerless, the convergence speed is very slow, the efficiency is extremely low, and it is even unfeasible.

Method used

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  • Combined optimization method used for synthesis of large-scale heterogeneous four-dimensional antenna array
  • Combined optimization method used for synthesis of large-scale heterogeneous four-dimensional antenna array
  • Combined optimization method used for synthesis of large-scale heterogeneous four-dimensional antenna array

Examples

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Effect test

Embodiment 1

[0060] Example 1: Synthesis of low-sidelobe heterogeneous 4D arrays based on a simple aircraft model in an unscanned state

[0061] Consider a heterogeneous four-dimensional array. There are 4 heterogeneous arrays in total, which are composed of a cylindrical fuselage surface array, a nose plane array, and left and right wing plane arrays. The structure is as follows: Figure 4 shown. The number of fuselage units is 4×10×16=640. There are 20 units along the direction of the busbar and 32 units in the direction of the alignment. 4 indicates the number of sub-arrays in which the units are symmetrically distributed, that is, there are four 10×16 units on the fuselage. The sub-arrays are composed of sub-arrays, and the equivalent excitation amplitude (switch closing duration) of the sub-arrays is the same, the number of nose units is 4×16×16=1024, the number of right wing units is 4×10×10=400, and the The number of wing units is 4×10×10=400, and they are all symmetrically distrib...

Embodiment 2

[0064] Embodiment 2: under the scanning state based on simple aircraft model (θ 0 =45. , ) low sidelobe heterogeneous 4D array synthesis

[0065] In this case, the number of heterogeneous arrays is considered to be 3 in total, which are composed of a cylindrical fuselage surface array, a nose plane array, and a right wing plane array. constant. The number of fuselage units is 4×10×10=400. There are 20 units along the direction of the busbar and 20 units in the direction of the directrix. 4 indicates the number of sub-arrays with symmetrical distribution of units, that is, there are four 10×10 units on the fuselage. The sub-arrays are composed, and the equivalent excitation amplitude (switch closing duration) of the units between sub-arrays is the same, the number of nose units is 4×14×14=784, the number of right wing units is 4×10×10=400, and They are all similar to the symmetrical distribution of the fuselage. The switching sequence adopts pulse phase shift, and the stat...

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Abstract

The invention discloses a combined optimization method used for synthesizing a large-scale heterogeneous four-dimensional antenna array which employs a pulse phase shift sequence. According to the combined method, a part of convexity of an original synthesis problem is fully utilized, and the original complicated synthesis problem is divided into two sub-problems; and then optimization is performed by two steps: step 1, rapidly optimizing an equivalent excitation amplitude (switch switch-on duration) and a static excitation phase with high efficiency according to constraint of a field at a center frequency by employing a convex optimization algorithm; and step 2, optimizing a switch switch-on initial time with the combination of a subarray optimization technology by employing a differential evolution algorithm according to the requirement of a directional diagram by a sideband so that the whole optimization problem can be rapidly solved with high efficiency. According to the method, the biggest innovation is the discovery of the essential characteristic of the original optimization problem, optimization is performed with the combination of the convex optimization algorithm and the differential evolution algorithm, the speed and the efficiency of the whole optimization process are greatly increased, and the effect of getting double the result with half the effort is achieved.

Description

technical field [0001] The invention belongs to the technical field of antennas and relates to the synthesis of large-scale heterogeneous four-dimensional antenna arrays. Specifically, a joint optimization method is used to quickly and efficiently synthesize heterogeneous four-dimensional antenna arrays. The fast and high efficiency of this joint optimization algorithm is mainly reflected in the full use of the partial convexity of the problem, and the introduction of the convex optimization algorithm to the problem of large-scale heterogeneous four-dimensional antenna array synthesis. Background technique [0002] So far, the topological structures of antenna arrays are almost planar antenna arrays distributed only on the same plane or conformal antenna arrays distributed only on the same curved surface. For some special carriers, such as satellites, aircraft, ships, etc., due to the very limited surface space that can be arrayed by the carrier itself and other non-antenna ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H01Q21/00H01Q21/29H01Q1/28
CPCH01Q1/285H01Q21/0087H01Q21/296
Inventor 杨仕文杨锋陈益凯倪东过继新孙超
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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