An Equalization Algorithm for Underwater Acoustic OFDM Communication System Based on Fractional Fourier Transform
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摘要: 为了解决正交频分复用(OFDM)水声通信系统在受到多普勒效应影响时, 子载波间的正交性容易受到破坏, 而导致系统性能下降问题, 基于分数阶傅里叶变换(FRFT)的OFDM水声通信技术, 提出了一种新的二次变换信道估计与均衡方法, 分析了该方法的原理及实现过程。该方法通过2次FRFT使接收数据在频域完成信道均衡后再变换到相应的分数阶域, 可以为FRFT-OFDM系统的工程实践提供基础。仿真结果表明, 相比于传统的OFDM系统, 基于FRFT的OFDM通信方法能有效提高通信性能。Abstract: The performance of traditional orthogonal frequency division multiplexing(OFDM) system will be greatly degraded if the orthogonality between sub-carriers is destroyed by the Doppler effect. To solve the problem, we present a new twice transform method for channel estimation and equalization based on the fractional Fourier transform(FRFT), discuss the principle and implementation process of the proposed method. In this method, the received data in frequency domain are equalized and then the equalized data are transformed into corresponding fractional Fourier domain to pro-vide a basis for engineering application of FRFT-OFDM system. Simulation results show that the performance of OFDM system based on the FRFT is improved efficiently, which compared with traditional OFDM system.
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