波束扫描合成孔径雷达成像处理

Scan-beam Synthetic Aperture Radar Imaging Processing

本文主要研究了波束扫描合成孔径雷达（ＳＣＡＮＳＡＲ）的成像处理方法．分析了ＳＣＡＮＳＡＲ的工作原理、信号格式、信号结构和信号参数限制．成像处理算法包括块数据成像算法和块图像拼接算法两部分，频谱分析法和时域频域混合相关法被用于块数据成像，块图像的拼接是利用时间关系剪裁块图像再顺次拼接．计算机仿真验证了本文提出的ＳＣＡＮＳＡＲ信号格式和成像算法的可行性．

Scan-beam synthetic aperture radar(SCANSAR) is proposed to solve the problem that SAR is constrained to a narrow swath by ambiguity limitation.This paper mainly engaged in SCANSAR imaging.SCANSAR operation principle,signal structure,signal parameters and data format are studied carefully befor imaging processing is taken into consideration.Signal processing includes the block data imaging algorithm and the subimages mosaicing algorithm.In block data imaging,two kinds of azimuth algorithms,spectrum analysis algorithm and time domain-frequency domain hybird algorithm,are discussed.In subimages mosaicing,time relation is utilized to clip the subimages and combine them sequentially.Computer simulation,which includes reformatting SEASAT raw data to SCANSAR data,processing block data and combining the subimages to a whole image,verifies the proposed signal format and imaging algorithm.