为解决目前传统方法在低信噪比时对多分量线性调频信号参数估计不理想的问题,提出一种新的参数估计算法.该算法将分数阶傅里叶变换和小波变换很好地结合起来,对经过分数阶傅里叶变换后的信号用小波进行滤波,并最终估计信号参数.仿真结果验证了该算法的有效性,可适用于低信噪比环境.
Aiming at the problem of the parameter estimation of multi-component LFM signal not being ideal at low SNR with traditional methods at present, a new parameter estimation method was proposed, which combining fractional Fourier transform(FRFT) with the wavelet transform well. The signal was decomposed by FRFT and the noise was eliminated by the wavelet transform, and then the parameter was estimated. Simulation results show the validity of the proposed method, which can be applied to low SNR environment.