非对称空间外差光谱技术是一种新型的超高分辨率遥感探测技术, 要求后期的数据处理技术也具有相应的超高准确度.从数字信号处理的角度, 提出了一种自适应的频率跟踪处理方法, 根据信号的空间频率来插值补偿信号的相位偏移, 并且递归迭代出最接近真实值的相位信息.经仿真实验对比验证表明, 在噪声干扰强度不大的条件下, 相较于传统傅里叶变换方法, 本文算法对信号频率和相位提取的准确度提高了约100倍以上, 能够有效降低非对称空间外差光谱技术的系统误差.

Doppler Asymmetric Spatial Heterodyne(DASH) spectroscopy is a new hyperspectral remote detection technology, which requires the data processing technology should also have corresponding super high precision. From the viewpoint of digital signal processing, an adaptive frequency tracking method was proposed, which is based on the spatial frequency of the signal to compensate the phase shift of the fringe signal, and recursive iterate to the phase information most close to the real value. Verified by simulation experiment contrast, the results show that, under the low intensity noise condition, the frequency tracking algorithm can improve the accuracy of signal frequency and phase extraction by about more than 100 times to compare with the traditional Fourier transform method, which proves it can effectively reduce the system error of DASH spectroscopy.