Intelligent beamforming by using a complex-valued neural network
@article{Suksmono2004IntelligentBB, title={Intelligent beamforming by using a complex-valued neural network}, author={A. B. Suksmono and A. Hirose}, journal={J. Intell. Fuzzy Syst.}, year={2004}, volume={15}, pages={139-147} }
This paper describes an intelligent beamforming (IBF) system based on complex-valued neural network (CVNN). A multilayer network structure with complex-valued neurons has been used. The system employs the complex-valued backpropagation algorithm (CVBPA) to intelligently adapt incoming signals impinging to sensors array. Performance of the CVNN-IBF system is compared with that of the conventional single-layer adaptive system using complex-valued least mean square (CLMS) algorithm. Experiments… CONTINUE READING
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