一种新的红外探测方法

A novel method for infrared detection

红外探测过程中,信号经过长距离传播和衰减常淹没于噪声,如何检测这种微弱信号,并同时满足精度高、实时性好的要求,成为红外探测微弱信号的关键.提出了一种新的基于全相位快速傅立叶变换(all phase fast Fourier transform,简称ap-FFT)算法的微弱信号检测及其复原方法.在频谱分辨率较低的情况下,通过循环移位叠加的归一化ap-FFT算法,将有泄漏的信号频谱复原处理成近似无泄漏,从而实现准确、快速获取移频参数.新方法与传统的FFT算法相比,兼顾了微弱信号检测中精度高、实时性好的双重要求.利用Matlab进行性能仿真分析和比较,证明所提出的检测方法有效、可行,为红外探测信号提取提供了方法依据.

Signal can be weaken and drown by noise after long-distance transmit. Measuring the weak signal with high accuracy and meeting the real-time requirements is key problem to infrared detection. Ap-FFT, all phase fast Fourier transform, is introduced to weak infrared signal detection and restore. Under the condition of low resolution spectrum, the cyclic shift superposed normalized ap-FFT algorithm will restore spectrum with leak to without leak approximately. And then, it can acquire parameters of frequency shift rapidly and accurately. Compared with FFT method, it can measure accuracy and be real time. MATLAB was used to carry out simulation analysis. The results show that the method is effective and feasible and can be offered for infrared detection.