Neural network-based adaptive beamforming for one- and two-dimensional antenna arrays
Abbreviated Journal Title
IEEE Trans. Antennas Propag.
adaptive arrays; antenna arrays; beamforming; neural network; applications; tracking; DIRECTION; Engineering, Electrical & Electronic; Telecommunications
In this letter, we present a neural network approach to the problem of finding the weights of one- (1-D) and two-dimensional (2-D) adaptive arrays. In modern cellular satellite mobile communications systems and in global positioning systems (GPS's), both desired and interfering signals change their directions continuously. Therefore, a fast tracking system is needed to constantly track the users and then adapt the radiation pattern of the antenna to direct multiple narrow beams to desired users and nulls interfering sources. In the approach suggested in this paper, the computation of the optimum weights is accomplished using three-layer radial basis function neural networks (RBFNN). The results obtained from this network are in excellent agreement with the Wiener solution.
Ieee Transactions on Antennas and Propagation
"Neural network-based adaptive beamforming for one- and two-dimensional antenna arrays" (1998). Faculty Bibliography 1990s. 2237.