空时分组码的二阶循环平稳特性分析

Characteristic Analysis of Blind Classification for STBC Based on Second-Order Cyclostationarity Statistics

针对空时分组码的盲识别问题,研究空时分组码信号的二阶循环平稳特性。利用空时分组码矩阵元素之间的相关性,给出了空时分组码相关矩阵的傅里叶变换形式,推导出空时分组码信号在不同时延参数下具有循环频率的特征。通过仿真实验,验证了推导过程的正确性,并定义了用于空时分组码识别的决策树,对空时分组码盲识别技术的发展进行了展望。

In the light of the problem of blind classification for space-time block coding （STBC）, the second-order cyclostationarity statistics were analyzed. Using the correlation of the elements in STBC matrix, the Fourier coefficients were defined, and the characters that signals of STBC have cycle frequencies was proved. Simulation showed the validity of the derivation, and the decision tree was made for classification. And finally, the proposed algorithms were summarized and the fu- ture development of classification of STBC was pointed out.