Multiuser array beamforming based on a neural network mapping

This paper addresses the problem of simultaneous multiuser service. To find a feasible solution to the collision problem, two time reference multibeamformer systems are developed (BPSK TRMB and frequency framing TRMB). Based on a two-stage architecture, they enlarge the potential of existing separating neural networks and the algorithm (EM). Their goal is to perform a low computational simultaneous digital demodulation of users. The results support the frequency framing TRMB as the more robust system, which is able to give service to users in very degradated SNR scenarios; only the decoupling weights and their corresponding High Order Statistics learning is the overhead from a pure superposition of single channel receivers