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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颇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．
Because LFM signal occupies a very wide frequency band, it can not be decomposed into signal subspace and noise subspace by using singular value decomposition. In this paper, In this paper, we analyzed the properties of the algorithm and proposed the concept of “pseudo signal subspace” and the Radon-STFT transform theory used to detect the linear dip angle. The results of the simulation experiment show that this method of subspace decomposition It is feasible for a class of noisy linear FM signals.