期刊论文详细信息
The Journal of Engineering
Imaging algorithm for multi-channel scan synthetic aperture radar with channel error estimation and compensation
Zegang Ding1  Feng Xiao1  Meng Ke1 
[1] Beijing Key Laboratory of Embedded Real-time Information Processing Technology, Radar Research Lab., School of Information and Electronics, Beijing Institute of Technology;
关键词: synthetic aperture radar;    radar imaging;    geophysical image processing;    image resolution;    hrws observation;    imaging algorithm;    wide swath synthetic aperture radar;    multichannel scan synthetic aperture radar;    multichannel scan imaging;    channel error estimation;    multichannel scan sar;    extended chirp scaling algorithm;    multichannel scan mode;    high-resolution width swath imaging;    conventional sar imaging;    fine resolution;   
DOI  :  10.1049/joe.2019.0288
来源: DOAJ
【 摘 要 】

The wide swath synthetic aperture radar (SAR) imaging with a fine resolution is fundamentally a contradiction in conventional SAR imaging. To meet the demand of high-resolution width swath (HRWS) imaging, multi-channel scan mode has received a great deal of attention as a promising concept to realise HRWS observation. In this article, based on extended Chirp Scaling algorithm, an imaging algorithm for multi-channel scan SAR is proposed. Furthermore, channel error estimation and compensation are the key point in multi-channel scan imaging and are integrated into the proposed imaging algorithm. The computer simulation is shown to verify the presented imaging algorithm.

【 授权许可】

Unknown   

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