短时傅里叶变换在水声通信自适应OFDM均衡中应用

The application of short-time fourier transform in underwater acoustic communication adaptive OFDM equalizer

具有时变的水声通信环境使得正交频分复用信号在传输过程中受到破坏,提高了系统误码率。为解决这个问题,本文利用短时傅里叶变换得到的二维谱进行自适应均衡,来增强正交频分复用系统的抗干扰能力。最后通过与ZF和RE-ZF均衡算法相比较,得到本文算法在非线性信道中误码率较高,并且收敛性强的结论。

With time varying underwater acoustic communication environment,the process of the orthogonal frequency division multiplexing signal was destroyed,and the error rate of the system was improved. In order to solve this problem,in this paper,the two-dimensional spectroscopy was subjected by Fourier transform which was adaptive equalization. Enhanced anti- jamming capability orthogonal frequency division multiplexing systems. Finally, by comparison with ZF and RE- ZF equalization algorithm.Algorithm designed in this article had higher bit error rate and stronger convergence in the non-linear channel.