基于自适应匹配追踪的MIMO-OFDM窄带干扰检测

Narrow band interference detection for MIMO-OFDM systems based on sparsity adaptive matching pursuit

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。

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 analysis 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.