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Delay Spread Estimation in Shallow Water Acoustic Channels Using Masked Channel Subspaces

机译：屏蔽通道子空间延迟浅水声道中的延迟估计

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摘要

Tracking the shallow water acoustic channel in real time has been a long standing challenge, particularly over moderate to rough sea conditions due to unpredictable oceanic activity that are difficult to track dynamically using a single algorithm. We build upon prior work to propose a constrained non-convex mixed norm solution that tracks the rapidly fluctuating shallow water acoustic channel as a banded delay spread, wherein different bands correspond to different degrees of multipath reflection and bounce patterns. This enables us to exploit the non-convex solution landscape to track different channel activity independently through the banded constraints, which are implemented as masks on the initialization of the channel tracking algorithm. Promising improvements over the current art in channel prediction error and computing time were observed over experimental field data collected at 200 meters range and 15 meters depth.
机译：在实时跟踪浅水声道一直是一项长期挑战，特别是由于不可预测的海洋活动，难以使用单一算法动态追踪的不可预测的海洋活动，特别是在中度到粗糙的海洋状况。我们在先前的工作时建立一个受约束的非凸的混合规范解决方案，其跟踪快速波动的浅水声通道作为带状延迟扩展，其中不同的频带对应于不同程度的多径反射和反弹图案。这使我们能够利用非凸解决方案横向来独立地通过带状约束来跟踪不同的信道活动，这些条带约束在频道跟踪算法的初始化上实现为掩码。在频道预测误差和计算时间内对当前艺术的有希望的改进在200米范围和15米深度收集的实验场数据上观察到。

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