An Improved Phase Gradient Autofocus Approach for Stripmap SAR Imaging

摘要：

　　The phase gradient autofocus(PGA)technique is applied over a wide range of imagery and phase error corrections for synthetic aperture radar(SAR).In this paper,we propose an improve PGA method to increase the phase error estimation accuracy by selectively increasing the pool of quality synchronization sources.This method operates mainly in three steps.Firstly,after compressing the deramped data by taking FFT,strong targets can be identified and selected out according to the pixel magnitudes over the two-dimensional(2-D)image.Secondly,sort the selected targets by computing their contrast in the azimuth direction and select out the ones with good contrast.Thirdly,sort the selected targets by computing their peak signal-to-noise(PSNR)in the azimuth direction and select out the good quality targets.After these three times filtering,those selected scatterers are optimal in terms of having sufficient signal-to-noise energy with negligible impulse response interference to the neighboring targets and clutter scatterers.With these selected quality scatterers,the proposed modified PGA method can achieve a better focusing performance.

关键词： Phase gradient autofocus phase error correction synthetic aperture radar stripmap imaging

作者: Bidan Liu Chang Liu Yanfei Wang

作者单位: Institute of Electronics,Chinese Academy of Science,19 North Sihuan Road,Haidian,Beijing 100190,China

会议类型: 国内会议

会议名称: 全球智能工业创新大会暨全球创新技术成果转移大会(GIIC2018)——2018智能无人系统大会

会议地点: 北京

会议语种:英文

页码: 1-5

在线出版日期: 2018-05-22（万方平台首次上网日期，不代表论文的发表时间）