HFT在非平稳信号组份分析中的应用

Separation of Various Components of Nonstationary Signal Using Half Fourier Transform

根据半傅立叶变换(HFT)的基本原理,以遥感探测一个有限闭合圆柱为例,应用HFT分析其暂态散射响应的各组份．实验结果表明,在高信噪比的情况下,HFT能够成功地从被测物的暂态散射响应中优化分离出早期响应的似脉冲分量和晚期的衰减正弦波分量．

This paper used the Half Fourier Transform to analyze various components of a nonstationary signal. By MATLAB simulation, a practical example, remote sensing a finite cylinder, was tested to verify the proposed algorithm. The result showed that in the higher SNR, the proposed algorithm can perfectly meet our expectation： to separate impulse-like components from damped exponentials.