估计淹没于噪声中的线性调频（ｃｈｉｒｐ）信号，是许多研究领域中的一个基本课题。本文提出一种基于时频面旋转的增强 ｃｈｉｒｐ 信号的算法，其处理过程是： 首先计算含噪信号的短时 Ｆｏｕｒｉｅｒ 变换，然后用由瞬时频率得出的信号的倾斜角度控制时频平面的旋转，在奇异值分解的基础上用低有效秩分离开信号子空间和噪声子空间，再将信号子空间旋转回去，最后经短时 Ｆｏｕｒｉｅｒ 逆变换，就得到去除了噪声的信号。仿真实验的结果表明了这种增强算法具有很好的保幅性能。 Estimating the chirp signal, submerged in the noise, is a fundamental issue in many fields of research. This paper presents an algorithm based on time-frequency surface rotation enhancement chirp signal processing is: first calculate the short-time Fourier transform of the noisy signal, and then use the signal from the instantaneous frequency of the tilt angle control the rotation of the time-frequency plane Based on the singular value decomposition, the signal subspace and the noise subspace are separated by the low effective rank, and then the signal subspace is rotated back. Finally, the signal with the noise removed is obtained by short Fourier transform. Simulation results show that this enhancement algorithm has good amplitude preserving performance.