超分辨方法在多普勒波束銳化中的應(yīng)用
APPLICATIONS OF SUPERRESOLUTION SIGNAL ESTIMATORS TO DOPPLER BEAM SHARPENED IMAGING
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摘要: Relax超分辨算法基于信號和噪聲參數(shù)化模型的諧波恢復(fù)方法，具有比傅里葉變換更高的分辨率。本文討論了Relax超分辨方法，并把它應(yīng)用于實(shí)測數(shù)據(jù)多普勒波束銳化(DBS)成像中；提出了一種基于Relax超分辨算法的目標(biāo)特征提取方法。實(shí)驗(yàn)表明Relax超分辨算法比傳統(tǒng)的基于傅里葉變換的多普勒波束銳化(DBS)方法具有較好的效果．
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關(guān)鍵詞:
- 超分辨;雷達(dá)成像;多普勒波束銳化成像
Abstract: The Superresolution mehtod based on the models of both the signal and the noise leads tO a superior accuracy thah the FFT method．This paper presents applications of superresolution signal estimatiors to Doppler beam sharpened imaging and proposes a method for target feature extraction．Experimental results show that the imaging quality are superiorhan that of traditional FFT method. -
Ausherman D A,Kozma A al. Developments in Radar Imaging.IEEE Trans.on AES,1984, 20(4)：363-400．[2]毛士藝，張瑞生，許偉武，李少洪，苗楠，朱谷川．脈沖多普勒雷達(dá)．北京：國防工業(yè)出版社，1990，179-190 .[3]Zhu Z D；Ye Z R,Wu X Q：Yin J．Super-resolution range-Doppler imaging IEE Proc-F,1995, 142(1)：25-32.[4]Abatzoglou T J．Superresolution signal processing and its applications.SPIE,1997,2562:88-98.[5]Li J.Stoica P.Efficient mixed-spectrum estimation with applications to target feature extraction. IEEE Trans．On Signal Processing,1996，44(2)：281-295．[6]Li J,Stoica P.An adaptive filtering approach to apectral estimation and SAR imaging[J].IEEE Trans．On Signal Processing.1996,44(6):1469-1484 -
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