Multiuser Detection
Hopfield neural network for UWB multiuser detection
WSEAS TRANSACTIONS on COMMUNICATIONS
IEEE Transactions on Wireless Communications
Multiuser detection for DS-CDMA UWB in the home environment
IEEE Journal on Selected Areas in Communications
Wireless Personal Communications: An International Journal
Hi-index | 0.00 |
Direct-sequence code division multiple access ultra-wideband (DS-CDMA UWB) is proposed by Federal communication commission (FCC) as an alternate physical layer communication platform for Wireless sensor network (WSN). In this paper, the problem of multiple access interference (MAI) and inter-symbol interference (ISI) suppression in DS-CDMA UWB systems would be considered. This paper is dedicated to the application of intelligence computational techniques based on bionics to solve the difficult issue of multiuser detection (MUD) design capable of canceling the so-called MAI to reach low bit error rate with acceptable computation complexity. We apply the hybrid approach that employs a hopfield neural network (HNN) and particle swarm optimization (PSO) for the MUD problem in DS-CDMA UWB systems. The computer experiments show that the proposed HNN embedded PSO technique (HNNPSO) technique not only can find optimal or close-to-optimal solutions but also obtain both better and more robust results than the existing algorithm reported recently in this literature.