基于MIMO索引调制OFDM的水声通信稀疏信道估计

Mhd Tahssin Altabbaa
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引用次数: 0

摘要

提出了一种新的导频辅助MIMO-OFDM-IM水声通信信道估计算法。接收机采用最小二乘技术进行初始信道系数估计。然后,利用ESPRIT算法估计了最重要抽头的延迟。然后将初始估计值输入到所提出的聚焦算法中。该算法利用两个一维连续聚焦函数对信道系数进行估计。与文献中大多数算法相反,本文提出的聚焦算法不需要像基于字典的算法那样需要过采样因子,也不需要像基于基追踪的算法那样需要学习参数。最后,对于MIMO接收机的每个分支,使用最大似然检测器将估计的信道系数用于每个OFDM-IM块中的有源子载波检测。利用VirTEX声学工具箱生成的合成水声信道,从平均均方误差和符号误差率两方面介绍了该接收机的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sparse Channel Estimation for MIMO Index Modulated OFDM Based Underwater Acoustic Communications
This paper presents a novel channel estimation algorithm for pilot aided MIMO-OFDM-IM underwater acoustic communications. The receiver employs the least squares technique for the initial channel coefficients estimation. Then, using the ESPRIT algorithm, the delays of the most significant taps are estimated. The initial estimated values are then inputted to the proposed focusing algorithm. This algorithm utilizes two one-dimensional continuous focusing functions for channel coefficients' estimation. Opposed to most algorithms in literature, the proposed focusing algorithm does not require an oversampling factor as in dictionary-based algorithms nor a learning parameter as in basis pursuit-based algorithms. Finally, for each branch of the MIMO receiver, the estimated channel coefficients are used for active subcarriers detection in each OFDM-IM chunk using the maximum likelihood detector. The performance of the proposed receiver is presented in terms of average mean square error and symbol error rate using synthetic underwater acoustic channels generated using VirTEX acoustic toolbox.
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