基于最小熵DCFT的双基地SAR多普勒参数估计

Doppler Parameters Estimation in Bistatic SAR Based on DCFT via the Minimum Entropy Principle

多普勒参数估计是SAR成像技术研究中的一项关键技术,多普勒参数估计精度将直接影响机载双基地SAR系统成像质量,为了实现对感兴趣目标区域有效地成像,需要对回波信号的参数进行准确估计。本文提出基于最小熵的离散调频傅里叶法(DCFT),该方法基于线性调频信号,可同时估计多普勒质心和多普勒斜率,并用RD算法对双基地SAR仿真数据成像,通过仿真验证了该方法的性能。

Doppler parameters estimation is the critical technique in SAR imaging processing. In the airborne bistatic synthetic aperture radar system （ Bistatic SAR）, the estimation accuracy of Doppler parameters affects the image quality directly. The imaging of interested target region by Bistatic SAR needs to accurately estimate the parameters of return signals of interested target region. In this paper, a new parameter estimation method is present based on DCFT transform of the minimum entropy for chirp waveform, which can estimate Doppler centroid and Doppler frequency rate at the same time. Finally we image simulating Bistatic SAR data by RD algorithm, and this method is verified validity by Simulation experiment.