CAJ | 학술논문

块稀疏信号是一种典型的稀疏信号，在块稀疏信号的压缩感知问题中，现有的理论研究往往假设信号的非零子块边界已知，然而这一先验信息对次用户往往是受限的。文中基于块稀疏信号压缩感知理论，研究块稀疏信号在非零子块边界信息未知时的压缩感知重建问题，提出一种融合了传统的单点重构算法和块稀疏重构算法的新算法。该算法将能量检测嵌入到重构算法中，用以判断块的完整性，实现了频谱感知与压缩感知的有机结合，不仅利用信号的块稀疏性提高了频谱检测速度，而且利用单点的OMP提高了算法的准确度。仿真表明，改进算法在非零子块边界信息未知时，依然能在很短的检测耗时下以较低的检测错误概率检测出信道的占用情况。
괴희소신호시일충전형적희소신호，재괴희소신호적압축감지문제중，현유적이론연구왕왕가설신호적비령자괴변계이지，연이저일선험신식대차용호왕왕시수한적。문중기우괴희소신호압축감지이론，연구괴희소신호재비령자괴변계신식미지시적압축감지중건문제，제출일충융합료전통적단점중구산법화괴희소중구산법적신산법。해산법장능량검측감입도중구산법중，용이판단괴적완정성，실현료빈보감지여압축감지적유궤결합，불부이용신호적괴희소성제고료빈보검측속도，이차이용단점적OMP제고료산법적준학도。방진표명，개진산법재비령자괴변계신식미지시，의연능재흔단적검측모시하이교저적검측착오개솔검측출신도적점용정황。
Block-sparse signal is a typical sparse signal. To deal with the compressed sensing problem of block-sparse signal,most of the existing theories assume that the boundary conditions of non-zero signals are known. However,this priori information is often limited to secondary users. In this paper,try to solve the reconstruction problem of imperfect block sparse signals without the boundary conditions of the non-zero signals. A modified spectrum sensing algorithm for wideband cognitive radio based on block-sparse orthogonal matching pursuit is proposed,which combines traditional single-point reconstruction algorithm and block sparse reconstruction algorithm together. To judge the integrity of the block,energy detection is used in reconstructing,not only improving the spectrum detection speed by the block sparse of signal,but also enhancing the accuracy of the algorithm by OMP. Simulation results show that,the modified algorithm still can detect the occupancy of the channel in a very short time under a low detection error probability without the boundary of the non-zero sub-block.