一种基于独立分量分析的OFDM-IDMA检测方法

提出了一种基于独立分量分析(ICA)的OFDM-IDMA检测新方法。独立分量分析是信号盲源分离领域中的新技术,它可以在系统用户特征序列未知的情况下,成功地提取出有用信号,节省了系统的资源。经过进一步优化,ICA可适用于OFDM-IDMA系统中,成功地实现对系统用户信号的检测。最后通过计算机仿真结果验证了该算法的有效性,且检测性能优于过去的方法;采用ICA算法检测器的OFDM-IDMA系统,还可减小通信传输时的误码率。

ICA-based Detection Algorthm for OFDM-IDMA System

A novel ICA-based detection algorithm for OFDM-IDMA system is proposed. ICA, as a new signal technology in blind source separation, can successfully extract useful signal without knowing characteristics sequence of the system user, thus saving the system resources. After futher modification, the proposed algorithm could be applicable to OFDM-IDMA system, and thus successfully realize the dectection of system user signal. Finally, computer simulation results verify that the proposed algorithm is feasibile and enjoys better dectection performance as compared with the conventional one. OFDM-IDMA system with ICA detection algorithm could reduce bit error rate in communication tansmission.