A Blind Multiuser Detector Based on Lagrange Neural Network
نویسندگان
چکیده
Abstract-In this paper, a blind multiuser detector based on Lagrange neural network (LNN) is proposed. Based on the minimum output energy (MOE) criterion, the blind detection algorithm is formulated as a constrained optimization problem inherently and then resolved efficiently using neural network. It is shown that compared with previous MOE blind detector, the proposed LNN blind multiuser detector offers better performance, lower computational complexity, faster convergence speed and real-time operation.
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