CAJ | 학술논문

基于压缩感知,该文研究了交轨向三孔径毫米波合成孔径雷达侧视3维成像问题.利用交轨方向的三孔径天线形成的稀疏阵列结构,获取高程分辨率并实现3维成像.由于交轨方向的采样数较少及非均匀采样,高程分辨率低,传统的基于傅里叶变换的3维成像技术获得的图像质量较差.针对此不足,在交轨向稀疏采样的条件下,该文采用压缩感知方法来实现超分辨成像.利用仿真和实际数据比较了传统成像方法和基于压缩感知的成像方法的性能,并验证了该文方法的有效性.
기우압축감지,해문연구료교궤향삼공경호미파합성공경뢰체측시3유성상문제.이용교궤방향적삼공경천선형성적희소진렬결구,획취고정분변솔병실현3유성상.유우교궤방향적채양수교소급비균균채양,고정분변솔저,전통적기우부리협변환적3유성상기술획득적도상질량교차.침대차불족,재교궤향희소채양적조건하,해문채용압축감지방법래실현초분변성상.이용방진화실제수거비교료전통성상방법화기우압축감지적성상방법적성능,병험증료해문방법적유효성.
Side-looking three-Dimensional (3D) imaging of three-aperture sparse array Synthetic Aperture Radar (SAR) based on Compressed Sensing (CS) is investigated in this paper. Using the sparse array structure in cross-track direction formed by three aperture antennas, the elevation resolution can be obtained and 3D imaging is achieved. However, the conventional Fourier transform based 3D imaging approach has a low resolution in elevation direction and brings the image quality problem because of the low number of acquisitions and irregular space sampling. CS theory is introduced to improve the resolution in the elevation direction. Experiment results on simulation and real data validate the effectiveness of the proposed method compared with the conventional imaging technique.