The UWB Multiple User Detection Based On Swarm Intelligence Optimization

Ultra-wideband(UWB)communication technology is a kind of wireless technology which uses ultra band and slender pulse to communicate.For the advantage of simple device,higher data rate and low probability of detection and fine multipath resolution capability ,the research on Ultra-wideband communication technology has become a significant developmental direction in communication field in recent years.As one of the key technologies in UWB communication system, Multiple User Detection(MUD) has important value in research.For the technology of MUD is known as a NP-hard problem in the combinational optimization,we can use meta-heuristic method which can resolve this kind of problems effectually to solve it.The central content of this thesis is the MUD technology in the UWB systems.The MUD technology is excellently immune to Multiple Access Interference (MAI) and good at near-far resistance, even enhances the performance and capacity of the systems.Theoretically from the performance and complexity,this thesis does some comparing research during several MUD algorithms in TH-IR systems, and compares their bit error rate (BER) by computer simulation.In the forth chapter,this thesis researches the Swarm Intelligence Algorithm(SIA)(particular in PSO) in theoritics study and simulative analyse. For traditional Discrete Particle Swarm Optimization (DPSO) has a disadvantage of local optimization, a Novel Discrete Particle Swarm Optimization (NDPSO) is presented,it has been proved effectual in solving the Knapsack Problem.In the end,the thesis uses SIA to solve the problem of MUD,and compares it with other MUD algorithms by computer simulation.