MIMO水声通信的软直接自适应Turbo均衡

W. Duan, Y. R. Zheng
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引用次数: 3

摘要

提出了一种用于鲁棒MIMO UWA通信的软直接自适应Turbo均衡(Soft DA-TEQ)方法。本文提出的软DA-TEQ算法是在期望最大化算法的一般框架下推导出来的,它利用解码器的先验软决策来指导均衡器系数的自适应。在硬DA-TEQ中,直接自适应的先验软决策有效地降低了经常导致灾难性性能下降的错误传播。此外,在基于emm的软自适应算法的每一次迭代中,都会对符号估计的可靠性进行更新,并在下一次迭代中使用,进一步增强了DA-TEQ算法的收敛性。实验结果表明,即使在低导频开销的情况下,所提出的软DA-TEQ也能够在快速时变的MIMO UWA信道中进行鲁棒检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Soft Direct-Adaptive Turbo Equalization for MIMO underwater acoustic communications
A Soft Direct-Adaptive Turbo Equalization (Soft DA-TEQ) is proposed for robust MIMO UWA communications. The proposed Soft DA-TEQ is derived under on the general frame of Expectation Maximization (E.M.) algorithm, which utilize the a priori soft decisions from the decoder to direct the equalizer's coefficients adaptation. The a priori soft decisions directed adaptation effectively lower the error propagation, which often cause catastrophic performance degradation in Hard DA-TEQ. Besides, in each iteration of the E.M. based soft adaption, the reliability of the symbol estimation is updated and used in the next iteration of soft adaption, which further enhances the convergence of the DA-TEQ. Experimental results show that the proposed Soft DA-TEQ is capable of robust detection in fast time varying MIMO UWA channels, even with low pilot overhead.
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