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提出了异步情况下基于独立分量分析的正交频分复用多址(Orthogonal Frequency Division Multiple Access,OFDMA)接入信号解码算法.该算法可以在传输延迟及载波频偏未知情况下,对多用户OFDMA信号进行盲分离和解码,不需要去除循环前缀,增加了接收信号能量,提高了解码性能.理论分析和仿真表明:在平稳信道环境下,相比于传统的基于快速傅里叶变换的OFDMA信号解码算法,该算法具有更好的性能.
This paper proposes an Orthogonal Frequency Division Multiple Access (OFDMA) access signal decoding algorithm based on independent component analysis (ICA) under asynchronous conditions. This algorithm can be applied to multiple users with unknown transmission delay and carrier frequency offset OFDMA signal is separated and decoded blindly without removing the cyclic prefix, increasing the energy of the received signal and improving the decoding performance.The theoretical analysis and simulation show that in the steady channel environment, compared with the traditional Fast Fourier Transform-based OFDMA Signal decoding algorithm, the algorithm has better performance.