基于多普勒谱优化的HRWS SAR系统通道相位偏差估计算法
发布时间：2019-05-30 08:05
【摘要】：方位多通道SAR系统通过抑制多普勒模糊,能够实现高分辨率和宽测绘带(HRWS)对地观测。针对通道间幅相偏差会导致成像结果中出现目标模糊分量的问题,该文提出一种通道相位偏差估计算法。该算法利用通道间相位偏差会造成多通道重构方位谱在主瓣内展宽的特性,通过优化多谱勒谱能够实现通道相位偏差的有效估计。该算法在通道相位偏差估计前不需要进行多普勒中心估计,减小了由多普勒中心估计不准引入的误差,并且在低信噪比的情况下仍然具有良好的估计性能。基于仿真数据和实测数据的实验验证了该文算法的有效性。
[Abstract]:The azimuth multi-channel SAR system can realize high resolution and wide mapping band (HRWS) ground observation by suppressing Doppler blur. In order to solve the problem that the amplitude and phase deviation between channels will lead to the fuzzy component of the target in the imaging results, a channel phase deviation estimation algorithm is proposed in this paper. The algorithm makes use of the characteristic that the phase deviation between channels will cause the azimuth spectrum of multi-channel reconstruction to widen in the main lobe, and the effective estimation of channel phase deviation can be realized by optimizing the multi-spectral spectrum. The algorithm does not need Doppler center estimation before channel phase deviation estimation, reduces the error that can not be introduced by Doppler center estimation, and still has good estimation performance in the case of low signal-to-noise ratio (SNR). The effectiveness of the proposed algorithm is verified by experiments based on simulation data and measured data.
【作者单位】： 西安电子科技大学雷达信号处理国家重点实验室;上海卫星工程研究所;上海航天技术研究院;
【基金】：国家自然科学基金(61471276,61601298,61671355)~~
【分类号】：TN958
本文编号：2488667
[Abstract]:The azimuth multi-channel SAR system can realize high resolution and wide mapping band (HRWS) ground observation by suppressing Doppler blur. In order to solve the problem that the amplitude and phase deviation between channels will lead to the fuzzy component of the target in the imaging results, a channel phase deviation estimation algorithm is proposed in this paper. The algorithm makes use of the characteristic that the phase deviation between channels will cause the azimuth spectrum of multi-channel reconstruction to widen in the main lobe, and the effective estimation of channel phase deviation can be realized by optimizing the multi-spectral spectrum. The algorithm does not need Doppler center estimation before channel phase deviation estimation, reduces the error that can not be introduced by Doppler center estimation, and still has good estimation performance in the case of low signal-to-noise ratio (SNR). The effectiveness of the proposed algorithm is verified by experiments based on simulation data and measured data.
【作者单位】： 西安电子科技大学雷达信号处理国家重点实验室;上海卫星工程研究所;上海航天技术研究院;
【基金】：国家自然科学基金(61471276,61601298,61671355)~~
【分类号】：TN958
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