针对超宽带(UWB)系统中的码间干扰(ISI)和多址干扰(MAI)问题,将线性预测方法应用于直接序列超宽带(DS-UWB)系统中进行盲均衡和盲多用户检测.该算法首先对接收数据进行线性变换和线性预测来抑制多址干扰,再对线性预测误差相关矩阵进行奇异值分解(SVD)来实现信道估计和均衡,消除码间干扰.仿真结果表明,在IEEE 802.15.3a信道模型下,与传统的Rake接收机以及盲MMSE接收机相比较,该算法具有较低的误码率和较好的抗远近效应能力.
A blind multi-user detection algorithm based on linear prediction is proposed for the direct sequence ultra-wideband(DS-UWB) system to provide resistance to multiple access interference(MAI) and inter symbol interference(ISI).The algorithm first applies linear transformation and linear prediction on the received data,in order to suppress MAI,and then estimate and equalize the channel by Singular Value Decomposition(SVD) of the prediction error correlation matrix.According to the simulation results with the IEEE 802.15.3a UWB channel model,the proposed algorithm exhibits reasonably good performance and near-far resistance in multiuser environment compared with the conventional Rake receiver and blind MMSE receiver.