Neural Network Based Minimization of BER in Multi-User Detection in SDMA
Neural networks can be used for linear design, adaptive prediction, amplitude detection, character recognition and many other applications. This paper investigates the use of neural network based minimization of BER in Multi-User Detection. Different algorithms are used in detecting the errors caused in AWGN channel. These errors are rectified by using Widrow-Hoff algorithm by updating their weights. But Computational Complexity and Fast performance are required and thus Adaptive Filtering has been proposed. In this paper, the authors consider SDMA scheme with 3 transmitters and 4 receiver antennas and BPSK modulation scheme is used.