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Ji Wu, Wei Wang, Qilian Liang, Xiaorong Wu and Baoju Zhang Compressive sensing-based data encryption system with application to sense-through-wall UWB noise radar Security and Communication Networks

Article first published online: 3 JAN 2013 | DOI: 10.1002/sec.670

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Compressive sensing can represent the original signal with far fewer samples than the conventional Nyquist sampling rate and provide good data secrecy as well. Our proposed compressive sensing-based data encryption system is then applied to sense-through-wall ultra-wide band (UWB) noise radar, and simulation results indicate that only one-third of the original samples are needed to perfectly recover UWB noise radar signal, and compressive sensing also provides good data secrecy as an encryption scheme.

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