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Space-borne antenna adaptive side-lobe ing algorithm based on gradient-genetic algorithm

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3 Author(s)
Haihong Tao ; Nat. Key Lab. of Radar Signal Process., Xidian Univ., Xi'an, China ; Guisheng Liao ; Ling Wang

A space-borne antenna side-lobe ing algorithm based on gradient-genetic algorithm is presented to search the fittest weight for pattern synthesis in radio frequency. Combined GA's the capability of the whole searching and not limited by selection of initial parameter with the gradient algorithm's advantage of fast searching, it can offer fewer initial population and low computer complexity, so improve the real time on line. With this algorithm, the designer can efficiently control both main-lobe shaping and side-lobe level. A further result on the Markov chain modal of gradient-GA shows its a global stochastic searching method. Simulation results based on the spot survey data show that the algorithm is efficient and feasible.

Published in:

Emerging Technologies: Frontiers of Mobile and Wireless Communication, 2004. Proceedings of the IEEE 6th Circuits and Systems Symposium on  (Volume:2 )

Date of Conference:

31 May-2 June 2004