Multiple Antenna Ultra-Wideband Channel Modeling And Application Research

Ultra-WideBand(UWB) and multi-antenna MIMO technology both have their own advantages,so the combination of them will be the focus of concern and research in the future, while channelmodel will be the basis and key in this research area. Previous study of UWB channel model ismore for the aspect of the single antenna model. But MIMO&UWB system is more complicatedthan SISO&UWB system, because it has a series of unknown factors, and faces great challenge.Starting from the difference between traditional channel and indoor UWB channel, this paperfirstly introduces the process of development of SISO UWB channel model and studies theinfluence of time window on average bit error rate in UWB system using two scenes of IEEE802.15.3a UWB channel model, then builds the spatial correlation indoor MIMO&UWB channelmodel, lastly studies the influence of channel correlation on performance in the MB-OFDM-UWBsystem. The main works of this paper is as follows:(1) At first, it aims to analyse the difference between traditional channel model and UWBindoor model. Then some classic UWB channel models will be introduced, namely IEEE 802.11channel model,Δ-Kmodel, previous S-V model and IEEE 802.15.3a model adopted by UWBwork team. At last, we use the simulation to simulate the important parameters of UWB indoormodel, including distinguish multipath number, multipath delay parameter, multipath arrival time,multipath amplitude distribution. The result proves the veracity and effectiveness of IEEE 802.15.3amodel. Meanwhile, it reflects the inconsistent of the three former models between the actual testresults.(2) A binary signal scheme is adopted based on two scenes of IEEE 802.15.3a ultra wideband(UWB) channel model. The average bit error rate formulaPe is deduced with added signalobservation time window [0, T ]in the receiver. Two methods of adding window are presented.The simulation results show that both of two methods can get the suitable window [0, T ]to ensurethe most channel characteristics is captured and system average bit error ratePe is close to thetheoretical value, while the signal observation time is reduced.(3) Uniform power subray method is used to allocate space angles for MIMO&UWB channelmodel. MIMO&UWB channel is modeled based on correlation matrix method and its spatialcorrelation formula is deduced in the case of multi-antenna. The performance of MIMO&UWBchannel impacted from multi-antenna and spatial correlation is analyzed. Computer simulationresults show that the proposed MIMO&UWB channel model is valid, and the number of pathswithin 10dB of peak power(NP10dB) and the number of paths that contain 85% of the totalenergy(NP85%) become less and the mean energy of channel becomes bigger with the spatial correlation being bigger, otherwise, NP10dBand NP85%become more and the mean energy ofchannel becomes smaller with the spatial correlation being smaller. Then on the base of channelmodel, the MIMO&UWB channel capacity affected from correlation is analysed through thesimulation of channel matrix eigenvalues.(4) The MIMO&UWB channel model is applied into UWB transmission system. This paperuses the MB-OFDM-UWB scheme promoted by IEEE 802.15.TG3 work team to produce UWBsignal and expands it to MIMO-OFDM&MB-UWB system to study the influences of bit error rateof MIMO-OFDM&MB-UWB system in different correlations of channel. At last, this paper fromthe aspect of detection algorithm in the receiver briefly analyses the reason why channel correlationhas an effect on the system’s bit error rate.