本文選題：頻譜管理 + 盲監(jiān)測(cè)��； 參考：《電波科學(xué)學(xué)報(bào)》2014年04期

【摘要】：復(fù)雜電磁環(huán)境下對(duì)無線電信號(hào)進(jìn)行監(jiān)測(cè)時(shí),基于時(shí)頻分析的傳統(tǒng)監(jiān)測(cè)方式對(duì)頻譜混疊信號(hào)難以進(jìn)行識(shí)別.針對(duì)這一問題,提出了一種電磁頻譜管理盲監(jiān)測(cè)技術(shù).在分析研究了盲源分離的理論基礎(chǔ)上建立了基于最大信噪比算法的盲監(jiān)測(cè)模型,基于該模型仿真實(shí)現(xiàn)了6路頻譜混疊無線電信號(hào)的分離提取.仿真結(jié)果表明:應(yīng)用所建立的模型能夠?qū)崿F(xiàn)頻譜混疊無線電信號(hào)的監(jiān)測(cè)分析,判明所監(jiān)測(cè)無線電設(shè)備的工作頻率、信號(hào)形式和帶寬等主要特征.
[Abstract]:When monitoring radio signals in complex electromagnetic environment, the traditional monitoring method based on time-frequency analysis is difficult to identify spectrum aliasing signals. To solve this problem, a blind monitoring technique for electromagnetic spectrum management is proposed. Based on the theory of blind source separation, a blind monitoring model based on the maximum signal-to-noise ratio (SNR) algorithm is established. Based on the model, the separation and extraction of six spectrum aliasing radio signals are realized by simulation. The simulation results show that the proposed model can be used to monitor and analyze spectrum aliasing radio signals, and identify the main characteristics of the monitored radio equipment, such as frequency, signal form and bandwidth.
【作者單位】： 洛陽電子裝備試驗(yàn)中心;北京跟蹤與通信技術(shù)研究所;
【分類號(hào)】：TN98
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本文編號(hào)：1796471