Implementation of a Distributed Compressed Sensing Algorithm on USRP2 Platforms

It has been recently demonstrated that the challenging implementation of the signal detectors can be facilitated by using the compressive sampling theory. In this paper, we consider a network of secondary nodes that cooperate to detect the primary signals by sampling the overall bandwidth periodically at a rate much smaller than the Nyquist rate. The delays inherent to the propagation channel are used to implement a periodic non-uniform sampling detector when the secondary nodes combine their observations. We demonstrate that the proposed detector can efficiently detect the primary user signal, and implement the algorithm on a USRP2 platforms network.