国防科技大学学报
國防科技大學學報
국방과기대학학보
Journal of National University of Defense Technology
2015年
5期
155-160
,共6页
孙伟朝%王丰华%黄知涛%王翔
孫偉朝%王豐華%黃知濤%王翔
손위조%왕봉화%황지도%왕상
宽带频谱快速感知%欠奈奎斯特采样%调制宽带转换器%多重信号分类算法
寬帶頻譜快速感知%欠奈奎斯特採樣%調製寬帶轉換器%多重信號分類算法
관대빈보쾌속감지%흠내규사특채양%조제관대전환기%다중신호분류산법
wideband spectrum fast sensing%sub-Nyquist sampling%modulated wideband converter%multiple signal classification
针对宽带频谱感知中采样率大、感知时间长的问题,在调制宽带转换器采样的基础上提出了一种改进多重信号分类算法的宽带频谱快速感知方法。调制宽带转换器对宽带频谱进行欠奈奎斯特采样,以最小描述长度准则估计信号个数,用改进多重信号分类谱估计信号位置。算法引入调整因子,使得多重信号分类谱中信号位置更为明显,降低了噪声的干扰。整个感知过程无须重构原始波形,无须计算频谱,大大降低了计算量,而且感知算法计算复杂度低,提高了感知效率。仿真结果表明,在低信噪比的情况下,该算法仍具有很好的检测性能。
針對寬帶頻譜感知中採樣率大、感知時間長的問題,在調製寬帶轉換器採樣的基礎上提齣瞭一種改進多重信號分類算法的寬帶頻譜快速感知方法。調製寬帶轉換器對寬帶頻譜進行欠奈奎斯特採樣,以最小描述長度準則估計信號箇數,用改進多重信號分類譜估計信號位置。算法引入調整因子,使得多重信號分類譜中信號位置更為明顯,降低瞭譟聲的榦擾。整箇感知過程無鬚重構原始波形,無鬚計算頻譜,大大降低瞭計算量,而且感知算法計算複雜度低,提高瞭感知效率。倣真結果錶明,在低信譟比的情況下,該算法仍具有很好的檢測性能。
침대관대빈보감지중채양솔대、감지시간장적문제,재조제관대전환기채양적기출상제출료일충개진다중신호분류산법적관대빈보쾌속감지방법。조제관대전환기대관대빈보진행흠내규사특채양,이최소묘술장도준칙고계신호개수,용개진다중신호분류보고계신호위치。산법인입조정인자,사득다중신호분류보중신호위치경위명현,강저료조성적간우。정개감지과정무수중구원시파형,무수계산빈보,대대강저료계산량,이차감지산법계산복잡도저,제고료감지효솔。방진결과표명,재저신조비적정황하,해산법잉구유흔호적검측성능。
Aiming at the problem of exorbitant sampling rate and sensing time too long in wideband sensing,a wideband spectrum sensing method using improved multiple signal classification (MUSIC)based on modulated wideband converter (MWC)was proposed.The MWC for sub-Nyquist sampling was used,the number of signals by minimum description length (MDL)criterion was estimated,and the signals’location using improved MUSIC was estimated.In the improved MUSIC,an adjustment factor was given,which enhanced the MUSIC spectrum at the signal’ locations and reduced others,and the noise jam was restrained.An amount of calculations was reduced,because it neither needed to recover original wave,nor calculated PSDs in the whole process.The complexity of sensing method was small,so that it increased sensing efficiency.The results show a reliable detection even in low signal noise ratio.