哈尔滨工程大学学报2015，Vol.36Issue(9)：1287-1291,5.DOI:10.11990/jheu.201407009
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
摘要
Abstract
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.关键词
窄带干扰检测/自适应匹配追踪/MIMO-OFDM/信号重构/压缩感知Key words
narrow band interference detection/sparsity adaptive matching pursuit/MIMO-OFDM/signal recon-struction/compressed sensing分类
建筑与水利引用本文复制引用
毕晓君,夏晓蕾..基于自适应匹配追踪的MIMO-OFDM窄带干扰检测[J].哈尔滨工程大学学报,2015,36(9):1287-1291,5.基金项目
国家自然科学基金资助项目（61175126）；中央高校基本科研业务费专项资金资助项目（ HEUCFZ1209）；教育部博士点基金资助项目（20112304110009）． （）
