Abstract
An optimal design method of elliptical beam Cassegrain antenna based on differential evolution with global and local neighborhoods algorithm is proposed to achieve high efficiency, low sidelobe, and low profile at Ku/Ka dual band. A rapid shaping method of elliptical beam antenna is given by applying the algorithm of steepest descent. Constraining of the first sidelobe level, antenna efficiency is optimized with only 17 variables, where aperture field distribution functions in the major and minor axis planes are parameterized by Non-uniform rational B-spline curves, and the transition function is expressed with a sinusoidal function. A prototype of optimized antenna with an aperture of 630mm $\times1150$ mm is fabricated and measured. The measured results show that the total efficiency is greater than 54.5%, and the first sidelobe levels are lower than −14.2dB across the Ku/Ka dual-band, which agree well with simulated ones. It is verified that the optimal design method is very effective.
Highlights
With the rapid development of satellite communication technology, the demand for satellite mobile communication systems is increasing rapidly
The phased array antenna has the lowest profile, fast and high precision beam tracking ability, but its beam scanning angle is limited, the gain will decrease and the sidelobe level will increase with beam scanning, in addition, its cost is high for the high gain requirements and it is difficult to realize dual band operation
An optimal design method of elliptical beam Cassegrain antenna based on differential evolution with global and local neighborhoods (DEGL) algorithm is proposed
Summary
With the rapid development of satellite communication technology, the demand for satellite mobile communication systems is increasing rapidly. Machine learning-based optimization algorithms such as multistage collaborative machine learning and neural networks have been used in the design of microstrip antennas and filters [20]-[22], but require a large amount of data and time for training Among these algorithms, differential evolutionary algorithms are known for their few variables, simplicity and efficiency in solving global optimization problems over continuous-spaces, and differential evolution with global and local neighborhoods (DEGL) algorithm introduces global and neighborhood optimal solutions into the mutation factor, which is easier to balance the exploration and exploitation abilities in optimization [23], and has been validated well in the optimized design of some high-gain reflector antennas. 2) An optimal design method of elliptical beam Cassegrain antenna based on DEGL algorithm is presented, and a Ku/Ka dual-band elliptical beam Cassegrain antenna prototype is manufactured and excellent performance is achieved Key contributions of this paper are as follows. 1) A steepest descent algorithm is proposed for the rapid shaping design of the elliptical beam antenna. 2) An optimal design method of elliptical beam Cassegrain antenna based on DEGL algorithm is presented, and a Ku/Ka dual-band elliptical beam Cassegrain antenna prototype is manufactured and excellent performance is achieved
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