MUI-free receiver for a synchronous DS-CDMA system based on block spreading in the presence of frequency-selective fading

被引:25
|
作者
Leus, G [1 ]
Moonen, M [1 ]
机构
[1] Katholieke Univ Leuven, ESAT, B-3001 Heverlee, Belgium
关键词
blind channel estimation; block spreading; code division multiple access; minimum mean square error equalization; zero forcing equalization;
D O I
10.1109/78.875474
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We discuss a synchronous direct-sequence code-division multiple-access (DS-CDMA) system based on block spreading in the presence of frequency-selective fading, Note that block spreading, which is also known as chip interleaving, refers to a spreading of a data block sequence, which is obtained by dividing a data symbol sequence into consecutive blocks. For such a system, we develop a simple new receiver that completely removes the multiuser interference (MUI) without using any channel information thence, the name MUI-free receiver). The MUI-free operation is obtained by the use of a shift-orthogonal set of code sequences on which this receiver is based. Within the framework of the MUI-free receiver, we further present a subspace deterministic blind single-user channel estimation algorithm, As a benchmark for the MUI-free receiver and the corresponding subspace deterministic blind single-user channel estimation algorithm, we consider the linear multiuser equalizer and the corresponding subspace deterministic blind multiuser channel estimation algorithm developed by Liu and Xu for a standard synchronous DS-CDMA system in the presence of frequency-selective fading, We show that the complexity of the MUI-free receiver using the corresponding subspace deterministic blind single-user channel estimation algorithm is much smaller than the complexity of the linear multiuser equalizer using the corresponding subspace deterministic blind multiuser channel estimation algorithm. We further show that the performance of the MUI-free receiver is comparable with the performance of the linear multiuser equalizer. This is for the case in which the channels are known as well as for the case in which the channels are estimated with the corresponding subspace deterministic blind channel estimation algorithm.
引用
收藏
页码:3175 / 3188
页数:14
相关论文
共 8 条