一種在大隨機(jī)噪聲下提取奇點的方法
A METHOD FOR SINGULARITY EXTRACTION FROM PULSE RESPONSE WITH LARGE RANDOM NOISE
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摘要: 從目標(biāo)的脈沖響應(yīng)中提取目標(biāo)的復(fù)自然諧振頻率是一種識別目標(biāo)很有效的手段,但實時性和抗噪聲能力一直未能得到有效解決。本文提出的算法能在0dB信噪比條件下有效地提取目標(biāo)的復(fù)自然諧振頻率,且信號處理時間只需數(shù)十毫秒。
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關(guān)鍵詞:
- 目標(biāo)識別; 奇點提取; 相關(guān)技術(shù); 對稱變換
Abstract: Target identification by its complex natural frequencies is considered the one of the mosi prospective methods. However, the tolerance of SNR and the real-time behaviour of the method can not be met simultaneously in the process of extracting the frequencies from target s pulse response. In this paper, an aproach algorithm for the natural frequencies detection are proposed. The algorithm is still efficient in case of SNR=0dB, and takes only tens millisecond. -
C. W. Chuang, IEEE Trans. on AES, AES-12(1976), 583-589.[2]王衛(wèi)延,奇點展開法中直接提取極點的方法綜述,中國科學(xué)院電子學(xué)研究所,內(nèi)部資料,1985年.[3]賈有忠,馮孔豫,一種在大背景噪聲下提取極點的方法,當(dāng)代電子對抗技術(shù)學(xué)術(shù)交流會論文集,安徽合肥,1987年5月.[4]A. J. Berni, IEEE Trans. on AES, AES-11(1975), 147-154.[5]樊昌信等編,通信原理,國防工業(yè)出版社,1980年. -
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