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.
