基于子带变换的LFM信号识别与参数估计研究

提出了一种基于子带变换的线性调频(LFM)信号识别与参数估计方法，首先利用子带变换滤波器组对信号进行时频分析，根据所呈现的时频特性快速判断调频信号的类型和频率变化范围，然后采用最小二乘法和直接法分别对参数进行估计分析。仿真结果表明，该方法能有效地检测出信号的调频特征和较准确地估计出信号的参数，具有较好的抗噪能力。由于在算法的实施过程中，不含求根、变换等复杂运算，所以易于硬件实现。

A Study on the Identification and Parameter Estimation of LFM Signal Based on Sub-band Transform

A technology based on sub-band transform is p ro posed in this paper for the identification and parameter estimation of LFM signa l. The modulation can be judged quickly by the time-frequency characteristics d isplayed througth the sub-band transform of the signal. Two methods named leas t square method and direct method are used to estimate the parameters. The simul ation results show that the frequency modulation characteristics of LFM signal c an be detected effectively, and parameters can be estimated accurately. This al gorithm can be implemented in hardware easily because there is no complicated op eration.