Model-based adaptive synthetic aperture radar image formation algorithm

作者：Gao, Yesheng^*; Wang, Kaizhi; Liu, Xingzhao

来源：IET Radar Sonar and Navigation, 2013, 7(2): 123-129.

DOI：10.1049/iet-rsn.2012.0222

• Data collection
• Estimated parameter
• Explicit knowledge
• Matching degree
• Parametric modeling
• Root-mean square errors
• SAR signals
• Synthetic aperture radar (SAR) images

A model-based adaptive synthetic aperture radar (SAR) image formation algorithm is proposed in this study. A parametric model is used to formulate the received SAR signal, each scatterer can be characterised by a set of its parameters. In the model, the instantaneous slant range is approximated by a polynomial. The parameters of each scatterer are estimated by maximising the cost function, named matching degree indicator. The root-mean-square errors of parameter estimation are close to the Cramer-Rao bounds. The image is formed by mapping the estimated parameters onto the grid formed by iso-range and iso-Doppler lines. The algorithm does not require explicit knowledge of the data collection geometry. Experimental results are given to validate the algorithm.

• 出版日期2013-2
• 单位上海交通大学