A fast neural beamformer for antenna arrays
نویسندگان
چکیده
A fast neuro-beamformer is presented in this paper. The new algorithm is based on the radial-basis function network. To meet real-time requirement, we customize the basis function for fast computation, and apply recursive least square learning rule to speed up the network training. By comparing the effects of center location and distribution, we can achieve a minimum network for recalling. The network recalling does not require the knowledge of direction-of-arrival, and thus the method is a blind method.
منابع مشابه
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