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基于Radon-STFT变换的含噪LFM信号子空间分解
引用本文:邹红星,周小波,李衍达.基于Radon-STFT变换的含噪LFM信号子空间分解[J].电子学报,1999,27(12):4-8.
作者姓名:邹红星  周小波  李衍达
作者单位:清华大学自动化系智能技术与系统国家重点实验室,北京,100084
基金项目:国家自然科学基金!69775009,国防科技重点实验室基金!97JS34.7.l.JW0105
摘    要:由于线性调频信号占有非常宽的频带,用奇异值分解就不能将含噪线性调频信号分解成信号子空间和噪声子空间,针对这一缺陷,本文提出了一种基于时频面旋转的含噪线性调频信号的子空间分解算法。文中分析了算法的性质,并提出了“伪信号子空间”的概念和用于检测直线倾角的Radon-STFT变换,理论分析和仿真实验的结果表明了这种子空间分解方法对一类含噪线性调频信号是可行的。

关 键 词:奇异值分解  伪信号子空间  时频分布  Radon-STFT变换  时频面旋转
修稿时间:1998-06-30

Subspace Decomposition for Noisy LFM Signal Using Radon-STFT Transform
ZOU Hong-xing,ZHOU Xiao-bo,LI Yan-da.Subspace Decomposition for Noisy LFM Signal Using Radon-STFT Transform[J].Acta Electronica Sinica,1999,27(12):4-8.
Authors:ZOU Hong-xing  ZHOU Xiao-bo  LI Yan-da
Abstract:Since the LFM signal occupies a wide band in frequency domain, it's impossible to use singular value decomposition to separate the noisy LFM signal into signal subspace and noise subspace. To counter this drawback, a new subspacedecomposition algorithm based on the rotation of time-frequency plane is presented in this paper along with its correspondingperformance. A new concept, namely, the "pseudo signal subspace", and a new transform for detecting the tilting angle calledRadon-STFT transform are proposed. Theoretical predictions and simulation results indicate that the strategies advasted arefeasible for denoising a class of LFM signals.
Keywords:singular Value decomposition  pseudo signal subspace  time-frequency distribution  Radon-STFT transform  rotation of time-frequency plane
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