CAJ | 학술논문

针对基于压缩感知的MIMO-OFDM窄带干扰检测存在检测时间较长的问题,提出一种基于压缩感知的自适应匹配追踪窄带干扰信号检测算法. 通过建立窄带干扰在频域的稀疏模型,提出将目前压缩感知中解决稀疏信号重构效果较好的自适应匹配追踪算法应用到窄带干扰信号检测中. 理论分析与实验仿真结果表明,在干扰数目增加的情况下,本文算法不仅能够精准地重构窄带干扰信号,完成窄带干扰信号的精确检测,而且在检测时间方面具有更为明显的优势.
침대기우압축감지적MIMO-OFDM착대간우검측존재검측시간교장적문제,제출일충기우압축감지적자괄응필배추종착대간우신호검측산법. 통과건립착대간우재빈역적희소모형,제출장목전압축감지중해결희소신호중구효과교호적자괄응필배추종산법응용도착대간우신호검측중. 이론분석여실험방진결과표명,재간우수목증가적정황하,본문산법불부능구정준지중구착대간우신호,완성착대간우신호적정학검측,이차재검측시간방면구유경위명현적우세.
At present, narrow band interference detection in MIMO-OFDM based on compressed sensing takes too long. To solve this problem an adaptive matching pursuit algorithm was proposed based on compressed sensing. A sparse model of narrow band interference in the frequency domain was established. This algorithm is good at solving sparse signal reconstruction, and thus it was applied to narrowband interference signal detection. The theoretical a-nalysis and experimental simulation results show that with the increase of interference, the algorithm in this paper can not only be used to reconstruct narrow-band interference signals accurately and detect narrow band interference signals precisely, it also has a more obvious advantage in shorter detection time.