Abstract
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.
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References
Jamnejad V, Huang J, Cesarone RJ (2001) Array antennas for JPL/NASA deep space network. IEEE Aerospace Conf Proc 10:219–230
Eckart Z, Kalyanmoy Deb (2000) Comparison of multi-objective evolutionary algorithms empirical results. Evol Comput 8:173–195
Kay CT, Tong HL (2002) Evolutionary algorithms for multi-objective optimization performance assessments and comparisons. Artif Intell 17:251–290
Kumar BP, Branner GR (1999) Design of unequally spaced arrays for performance improvement. IEEE Trans. Antennas Propag 47:511–524
Goldberg DE (1989) Genetic algorithm. In: Science Amen. Addison-Wesley, New York
Kogan L (2000) Optimizing an large array configuration to minimize the sidelobes. IEEE Trans Antennas Propag 48:1075–1078
Rahmat-Samii Y, Michielssen E (1999) Electromagnetic optimization by genetic algorithms. Wiley, New York
Shi XS, Wang YQ (2010) Research of optimizing algorithm for deep space large arrays geometric configuration. J Astronaut 31:478–484
Acknowledgment
This work is supported by the National Natural Science Foundation of China (Grant No. 61271265).
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Shi, X., Ma, H., Jiao, Y. (2015). Optimizing Deep-Space Antennas Array Configuration by Multi-objective Genetic Algorithm. In: Shen, R., Qian, W. (eds) Proceedings of the 27th Conference of Spacecraft TT&C Technology in China. Lecture Notes in Electrical Engineering, vol 323. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44687-4_14
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DOI: https://doi.org/10.1007/978-3-662-44687-4_14
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