Compressive Sensing in the Tactical Underwater Environment

The relatively opaque and inhospitable ocean medium presents unique and formidable challenges for the task of sensing & recognizing underwater objects. Impenetrable to most forms of electromagnetic radiation, the sea yields a glimpse of its hidden structure mainly through acoustic and optical means, which is the reason that sonar sensors and optical cameras are widely used in the tactical underwater environment (e.g. for Autonomous Underwater Vehicle, AUV). For such sensor platform, large amounts of data is often required to be sampled relative to the signal of interest, so is highly sophisticated and computationally expensive techniques for estimating sensing geometry. In order to reduce the sampling and computational requirements, thus increase area coverage rates and relax sensing geometry requirements, FastVDO proposes a complete framework using Compressive sensing (CS) techniques to sense, transmit signal and recognize objects in the underwater environment.