CAJ | 학술논문

频谱资源的匮乏成为无线电发展的瓶颈，解决频率匮乏有两类方法：一是提高频谱利用率；二是扩大可利用的频率范围。频谱感知技术能提高频谱利用率，但在高频的应用中会面对过高的采样速率、较大的数据量，这对硬件实现提出了艰巨的挑战。本文根据无线电频谱稀疏性介绍一种基于调制宽带转换器的压缩采样匹配追踪（CoSaMP）算法。本文利用调制宽带转换器对无线电信号进行亚奈奎斯特采样，再利用CoSaMP算法对采样后的自相关矩阵求解。本文的方法不仅能应用在更高的频谱，且能提高频谱利用率。仿真结果表明：该方法能以一个较低的采样速率对信号进行采样，且CoSaMP算法的恢复误差要小于OMP和ROMP算法。
빈보자원적궤핍성위무선전발전적병경，해결빈솔궤핍유량류방법：일시제고빈보이용솔；이시확대가이용적빈솔범위。빈보감지기술능제고빈보이용솔，단재고빈적응용중회면대과고적채양속솔、교대적수거량，저대경건실현제출료간거적도전。본문근거무선전빈보희소성개소일충기우조제관대전환기적압축채양필배추종（CoSaMP）산법。본문이용조제관대전환기대무선전신호진행아내규사특채양，재이용CoSaMP산법대채양후적자상관구진구해。본문적방법불부능응용재경고적빈보，차능제고빈보이용솔。방진결과표명：해방법능이일개교저적채양속솔대신호진행채양，차CoSaMP산법적회복오차요소우OMP화ROMP산법。
The lack of radio spectrum resources becomes the bottleneck in radio.There are two ways to solve the shortage of frequencies:the first is to improve the spectrum utilization;the second is to expand the available frequency range.The technology of spectrum sensing could improve the spectrum efficiency,but the application of high frequency faces a high sampling rate,a large amount of data,and it is a huge challenge for the hardware implementation.In this paper,the modu-lated wideband converter with compressive sampling matching pursuit (CoSaMP)algorithm based on the sparsity of the ra-dio spectrum is used in spectrum sensing.The radio signal is sampled by using the modulated wideband converter with a sub-Nyquist sampling rate and then CoSaMP algorithm is used to solve the sampled autocorrelation matrix.The proposed method can not only used in the high spectrum,but also can improve spectrum utilization.The simulation results show that this method can sample the signal with a lower sampling rate,and the recovered errors of CoSaMP algorithm are less than OMP and ROMP algorithm.