Yin, WotaoWen, ZaiwenLi, ShuyiMeng, Jia (Jasmine)Han, Zhu2018-06-192018-06-192011-01Yin, Wotao, Wen, Zaiwen, Li, Shuyi, et al.. "Dynamic Compressive Spectrum Sensing for Cognitive Radio Networks." (2011) <a href="https://hdl.handle.net/1911/102179">https://hdl.handle.net/1911/102179</a>.https://hdl.handle.net/1911/102179In the recently proposed collaborative compressive sensing, the cognitive radios (CRs) sense the occupied spectrum channels by measuring linear combinations of channel powers, instead of sweeping a set of channels sequentially. The measurements are reported to the fusion center, where the occupied channels are recovered by compressive sensing algorithms. In this paper, we study a method of dynamic compressive sensing, which continuously measures channel powers and recovers the occupied channels in a dynamic environment. While standard compressive sensing algorithms must recover multiple occupied channels, a dynamic algorithm only needs to recover the recent change, which is either a newly occupied channel or a released one. On the other hand, the dynamic algorithm must recover the change just in time. Therefore, we propose a least-squared based algorithm, which is equivalent to l0 minimization. We demonstrate its fast speed and robustness to noise. Simulation results demonstrate effectiveness of the proposed scheme.6 ppengTechnical reportTR11-04