基于改进K-S检测的STBC-OFDM信号盲识别算法研究

Blind recognition of STBC-OFDM signals based on modified K-S test

针对多输入单输出(MISO,multiple input single output)通信系统的STBC-OFDM信号盲识别问题,提出基于OFDM块的改进Kolmogorov-Smirnov(K-S)检测方法。该方法首先对MISO通信系统的STBC-OFDM信号建模;然后利用STBC-OFDM信号编码矩阵的相关性,构造不同时延向量下STBC-OFDM接收信号OFDM块的经验函数作为特征函数;最后通过改进K-S检测方法检验经验分布函数之间的距离盲识别STBC-OFDM信号。该方法不需要噪声信息、调制信息和信道系数,适合非合作通信场合。理论分析和实验验证了该方法的可行性。

Aiming at the problem that existed blind classification of STBC-OFDM in multiple input single output（MISO） communication system, an efficient method for blind classification of space-time block coded orthogonal frequency-division multiplexing（STBC-OFDM） signals based on modified Kolmogorov-Smirnov（K-S） test was proposed, when a single receiver antenna was employed at the receiver. Firstly, the model of received STBC-OFDM signals in MISO systems was given. Secondly, with the correlation of the coding matrix of STBC-OFDM signals, and the discrimination features function provided by the empirical cumulative distribution（CDFs） of the received OFDM blocks was constructed. Finally, the distance between CDFs was tested by the two-sample K-S test, which could blindly classify the STBC-OFDM signals. The proposed algorithm didn＇t need the estimation of channel, noise statistics and modulation type, and consequently, was well suited for non-cooperative communication context. Theoretical analysis and experimental verify its validity.