Title :
Compressive sensing for sense-through-wall UWB noise radar signal
Author :
Wu, Ji ; Liang, Qilian ; Zhou, Zheng ; Wu, Xiaorong ; Zhang, Baoju
Author_Institution :
Dept. of Electr. Eng., Univ. of Texas at Arlington, Arlington, TX, USA
Abstract :
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 the most challenging problems in UWB noise radar is data storage. In this paper, we apply compressive sensing in UWB noise radar of represent the 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 the UWB noise radar signal.
Keywords :
Gaussian processes; compressed sensing; matrix algebra; radar signal processing; random processes; ultra wideband radar; compressive sensing; data storage; random Gaussian matrix; sense-through-wall UWB noise radar signal; Robustness; Sensors; Compressive sensing; UWB noise radar; cosine basis;
Conference_Titel :
Communications and Networking in China (CHINACOM), 2011 6th International ICST Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-0100-9
DOI :
10.1109/ChinaCom.2011.6158299
