超分辨方法在多普勒波束锐化中的应用
APPLICATIONS OF SUPERRESOLUTION SIGNAL ESTIMATORS TO DOPPLER BEAM SHARPENED IMAGING
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摘要: Relax超分辨算法基于信号和噪声参数化模型的谐波恢复方法,具有比傅里叶变换更高的分辨率。本文讨论了Relax超分辨方法,并把它应用于实测数据多普勒波束锐化(DBS)成像中;提出了一种基于Relax超分辨算法的目标特征提取方法。实验表明Relax超分辨算法比传统的基于傅里叶变换的多普勒波束锐化(DBS)方法具有较好的效果.
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关键词:
- 超分辨;雷达成像;多普勒波束锐化成像
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]毛士艺,张瑞生,许伟武,李少洪,苗楠,朱谷川.脉冲多普勒雷达.北京:国防工业出版社,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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