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Performance analysis of multichannel lattice equalization in coherent underwater communications

机译:相干水下通信中多通道点阵均衡的性能分析

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摘要

This work examines the numerical fixed-point performance of a new multichannel lattice RLS filtering algorithm using data from two underwater acoustic communication experiments. The algorithm may be an appealing choice forunderwater equalization due to its robust numerical behavior and linear scaling of the computational complexity with filter order.Simple modifications to widely-used methods for carrier/timing synchronization and symbol slicing in transversal equalizers are proposed. Experimental results show that the algorithm is asaccurate as the similarly array-based QR-RLS, tolerating word lengths as low as 16-20 bits with minor degradation relative to floating-point benchmarks. These features, coupled with a verymodular and regular structure, are highly desirable in energyefficient hardware or embedded implementations.
机译:这项工作使用来自两个水下声学通信实验的数据,研究了一种新的多通道点阵RLS滤波算法的数值定点性能。该算法具有鲁棒的数值特性和滤波器阶次的计算复杂度的线性比例关系,因此可能是水下均衡的诱人选择。提出了对横向均衡器中载波/定时同步和符号分片的广泛使用方法的简单修改。实验结果表明,该算法与基于数组的QR-RLS一样准确,可承受的字长低至16-20位,相对于浮点基准而言,性能稍有下降。这些功能,加上非常模块化和规则的结构,在高能效的硬件或嵌入式实现中非常需要。

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