基于独立分量分析的正交空时分组编码盲检测方案

通过在不同天线发射的信号之间引入时域和空域信息,正交空时分组编码(OSTBC)可以获得发射分集增益,而且可以在不牺牲带宽的情况下获得更高的编码增益。但是其译码却需要精确的信道状态信息(CSI),因此,信道信息估计的准确性严重影响系统的性能。基于独立分量分析(ICA)的盲源分离(BSS)技术可以在不进行信道估计的情况下对发射信号实现有效检测。通过利用OSTBC的正交特性,提出了2种基于ICA的盲检测方案,同时,一些基于信道估计的检测算法也被用来进行性能比较。瑞利衰落信道下的仿真结果表明,2种新方案均具有较好的系统适应性和误码率性能。

Blind detection of orthogonal space-time block coding based on ICA schemes

By introducing information in both space and time domain, transmit diversity gain could be achieved by or-thogonal space-time block coding (OSTBC), and higher coding gain could be obtained without sacrifice of bandwidth. However the decoding required accurate channel state information (CSI), which strongly determined the system per-formance. The independent component analysis (ICA) based blind source separation (BSS) techniques could be used to detect the transmitted signals without channel estimation. Two new schemes were proposed based on ICA blind detection by exploiting the orthogonality of OSTBC. And meanwhile some detecting algorithms based on channel estimation were used for performance evaluation. Simulation results for Rayleigh fading channels demonstrated that the two new schemes could enhance the flexibility of the communication system while achieve better bit error rate (BER) performance.