基于压缩感知的无同步延迟层析成像
Synchronization-Free Delay Tomography Based on Compressed Sensing
摘要：
时延层析成像技术一直以来都是网络中源端和接收端测量节点的负担，需要解决两个方面的问题：路径建立和时钟同步。在这封信中，我们专注于延迟层析成像的时钟同步问题，并提出了一个同步的延迟层析成像方案。该方案选择源和接收机测量节点之间的路径作为参考路径，这导致在传统的延迟层析成像问题的方程的损失。然而，通过利用压缩感知，所提出的方案变得鲁棒的损失。仿真实验证实，该方案的工作原理与传统的延迟层析成像计划在网络中没有源和接收机测量节点之间的时钟同步。
英文摘要：
Delay tomography has so far burdened source and receiver measurement nodes in a network with two requirements such as path establishment and clock synchronization between them. In this letter, we focus on the clock synchronization problem in delay tomography and propose a synchronization-free delay tomography scheme. The proposed scheme selects a path between source and receiver measurement nodes as a reference path, which results in a loss of equation in a conventional delay tomography problem. However, by utilizing compressed sensing, the proposed scheme becomes robust to the loss. Simulation experiments confirm that the proposed scheme works comparable to a conventional delay tomography scheme in networks with no clock synchronization between source and receiver measurement nodes.
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