用于水下声学应用的低复杂度飞行员辅助多普勒估计器的推导
Ali M Bassam1,2, Mae L Seto1,2
1Department of Mechanical Engineering, Dalhousie University, Halifax, Nova Scotia, Canada.
The Journal of the Acoustical Society of America
|May 15, 2025
概括
一种新的多普勒估计方法用于水下声学直角频率分割复杂化系统的计算效率高. 与许多现有技术相比,这种方法提高了平均平方误差性能,使其适合低功耗应用.
科学领域:
- 信号处理 信号处理
- 水下声学 水下声学
- 无线通信是一种无线通信.
背景情况:
- 水下声学 (UWA) 系统在多普勒估计方面面临挑战,原因是复杂的通道环境.
- 正角频率分割复杂化 (OFDM) 是UWA通信的一个关键技术.
- 有效的多普勒估计对于可靠的UWA-OFDM系统性能至关重要.
研究的目的:
- 为UWA-OFDM系统开发一个计算轻量级的时域多普勒估计方法.
- 为了确保该方法适用于广泛的UWA通道条件.
- 用现有方法对拟议估计器的性能进行评估.
主要方法:
- 使用转移直角试点序列进行时间域多普勒估计.
- 根据与UWA环境相关的通道假设推导估计器.
- 进行高信号噪声比的非对称分析,并计算克拉默-拉奥下限.
主要成果:
- 建议的估计器在计算上是高效的,适用于资源有限的应用程序.
- 与许多现有的UWA多普勒估计技术相比,估计器显示出更高的平均平方误差性能.
- 虽然与一些先进的估计器相比,它是次优的,但它提供了性能和复杂性的实际平衡.
结论:
- 为UWA-OFDM系统提出了一种新且计算效率高的多普勒估计方法.
- 该方法为实际的UWA通信系统提供了性能和计算负载之间的有价值的权衡.
- 这项工作有助于推进可靠的水下声通信.
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