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- W2357267351 abstract "For traditional digital beamforming method, a drastic hardware is required for the multi-channel; also channel′s consistency is difficult to ensure. A novel space-borne antenna nulling method based on Gradient-Genetic Algorithm (GA) is presented to search the fittest weight for beamforming in radio frequency (RF). Combining GA′s capability of whole searching and not limited by selection of initial parameter with the Gradient algorithm′s advantage of fast searching, it can offer less initial population and low computer complexity, thus improving the ability on line. A further result on the Markov chain modal of Gradient-GA shows it is a global stochastic searching method and can converge as probability 1.Simulation results based on the spot survey data show that this algorithm is efficient." @default.
- W2357267351 created "2016-06-24" @default.
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- W2357267351 date "2007-01-01" @default.
- W2357267351 modified "2023-09-23" @default.
- W2357267351 title "A Novel Space-borne Antenna Nulling by Feedback Using Gradient-GA and Analysis Based on Markov Chains" @default.
- W2357267351 hasPublicationYear "2007" @default.
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