Narrow Results

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.