摘要
采用空时分组码的MIMO-CDMA系统可以通过最大似然法检测出信号,但其所需要的信道状态信息难以在接收端精确估计。在此提出基于复FastICA算法的STBC-DS-CDMA系统盲检测方法,在不需要进行信道估计的情况下即可分离、提取源信号。通过仿真比较可知,采用这种算法的STBC-DS-CDMA系统的误码率性能与理想信道估计下的最大似然检测算法性能相当,并且不需要进行信道估计,节省了系统开销。
The Multiple - Input Multiple - Output（MIMO） CDMA system based on space - time block codes can detect the transmitted signals by the most likelihood detector. But the needed channel state information is hard to estimate accurately on the receiver. A blind detection algorithm based on the fast fixed - point ICA algorithm to complex - valued signals for the STBC - DS - CDMA system is proposed. Without any CSI,the source signals can be separated and abstracted. By simulation and comparison,the bit error rate performance of this method without any CSI approximate to the conditions under perfect channel state information and resource of the system is saved.
出处
《现代电子技术》
2009年第22期126-129,共4页
Modern Electronics Technique
关键词
盲检测方法
空时分组码
CDMA
独立分量分析
blind detection method
space-time block codes
CDMA
independent component analysis
