文章基本信息

标题：Reconstruction of Ultrasound Signals Using Randomly Acquired Samples in a Sparse Environment
本地全文：下载
作者：Samuel Pinto ; Sean R. Sanchez ; Liam Doran 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：8
页码：381-386
DOI：10.1016/j.ifacol.2019.08.105
语种：English
出版社：Elsevier
摘要：AbstractSonar echoes can provide more than only range information, but recording the full sonar echo is challenging in resource constrained systems. This paper introduces an approach for reconstructing under-sampled sonar echo signals in environments that are not cluttered using Compressive Sensing. This technique requires sampling only around 20% of the total samples in order to achieve good reconstruction results. An experimental validation of the approach is presented.
关键词：KeywordsCompressive sensingcompressionsonarroboticsmapping