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中文摘要：
为提高水声通信系统的数据传输速率和可靠性,提出一种新的基于软信道估计的联合迭代均衡译码（joint iterative equalization and decoding,JIED）水声通信方法。该方法利用软输入软输出（soft in soft out,SISO）译码器反馈的外似然比计算符号软估计信息,并应用于稀疏自适应信道估计器的抽头系数更新过程。经过译码器和均衡器之间多次迭代交换软信息联合处理接收信号,信道估计精度与均衡效果显著提高。水声通信实验结果表明在通信距离1.8km、2kHz有效带宽内,新方法在第2次迭代后即可实现2kb/s的无误码传输,可以有效提高系统可靠性和传输速率。
英文摘要：
In order to improve the data rate and reliability of underwater communication systems,a soft channel estimation based joint iterative equalization and decoding scheme is proposed for underwater communications.The receiver updates the coefficients of the sparse soft channel estimator by using the soft information calculated from the extrinsic log likelihood ratio fed by the soft-in-soft-out（SISO） decoder.Channel estimation and equalization performance can be greatly improved by iteratively exchanging soft information between SISO equa-lizer and SISO decoder.Experimental results show that after the second iteration,the proposed scheme can achieve error-free data transmission of 2 kb/s in a range of 1.8 km,and bandwidth of 2 kHz.
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