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BEAMFORMING OF ULTRA-WIDEBAND PULSES BY A COMPLEX-VALUED SPATIO-TEMPORAL MULTILAYER NEURAL NETWORK

Department of Electrical Engineering, Institut Teknologi Bandung, Jl. Ganesha No. 10 Bandung, Indonesia

and

Department of Electrical and Electronics Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

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https://doi.org/10.1142/S0129065705000128Cited by:9 (Source: Crossref)

Abstract

We present a neuro-beamformer of ultra-wideband (UWB) pulses employing complex-valued spatio-temporal multilayer neural network, where complex-valued backpropagation through time (CV-BPTT) is used as a learning algorithm. The system performance is evaluated with a UWB monocycle pulse. Simulation results in suppressing multiple UWB interferers and in steering to multiple desired UWB pulses, demonstrates the applicability of the proposed system.

Some parts of this paper have been presented in WPMC2004 and ICONIP2004.

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