Compressive sensing for sense-through-wall UWB noise radar signal

UWB noise radar is one of the novel techniques which are widely used in various sensing-through-wall applications such as emergency rescues and military operations. One of he mos challenging problems in UWB noise radar is data storage. In his paper, we apply compressive sensing in UWB noise radar o represent he original signal with far fewer samples. Interestingly, a random Gaussian matrix is sufficient to capture the information in the UWB noise radar signal, no knowledge of UWB signal is known in advance. Simulation results indicate only 1/5 of original samples are need o perfectly recover he UWB noise radar signal.

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