Optimizing Deep-Space Antennas Array Configuration by Multi-objective Genetic Algorithm
In order to increase the capacity of communication link between ground and planetary spacecraft, antenna arraying technology is adopted in deep space communication.For antenna arrays construction, array elements geometric configuration optimization is a key technology to improve array performance.Firstly,calculation method of instantaneous synthesized beams is presented, and an optimization model of array for a given tracking direction is built.Secondly, for limitation of standard genetic algorithms, an improved genetic algorithm (IGA) for array configuration optimizing is given.Finally, based on IGA optimization algorithms and Pareto multi-objective genetic algorithms, multi-objective array configurations optimization is carried out between minimum sidelobe level and cable length, and between minimum sidelobe level and main lobe width.
Deep-space communication Array antennas Configuration optimizing Genetic algorithm Multi-objective optimizing
Xueshu Shi Hong Ma Yiwen Jiao
Equipment Academy, Beijing 101416, China
国际会议
The 27th Conference of Spacecraft TT&C Technology in China(第27届中国飞行器测控学术会议)
广州
英文
151-160
2014-11-09(万方平台首次上网日期,不代表论文的发表时间)