CAJ | 학술논문

传统的SAR（Synthetic Aperture Radar ）两维自聚焦算法没有充分挖掘残留相位误差所特有的内部结构信息，是对残留相位误差的一种盲估计，实际应用时在估计精度和计算效率等方面还受到一定限制。本文以极坐标格式算法为例，详细分析了成像算法处理后残留两维相位误差的解析结构，并利用这种先验辅助知识，提出了一种基于一维估计/两维校正的自聚焦算法。算法只需直接估计方位一维相位误差，然后利用两维相位误差内部所特有的结构信息，将一维相位误差映射得到两维相位误差，从而实现精确的两维自聚焦。实测数据处理结果验证了本文算法的有效性。
전통적SAR（Synthetic Aperture Radar ）량유자취초산법몰유충분알굴잔류상위오차소특유적내부결구신식，시대잔류상위오차적일충맹고계，실제응용시재고계정도화계산효솔등방면환수도일정한제。본문이겁좌표격식산법위례，상세분석료성상산법처리후잔류량유상위오차적해석결구，병이용저충선험보조지식，제출료일충기우일유고계/량유교정적자취초산법。산법지수직접고계방위일유상위오차，연후이용량유상위오차내부소특유적결구신식，장일유상위오차영사득도량유상위오차，종이실현정학적량유자취초。실측수거처리결과험증료본문산법적유효성。
Conventional two dimensional (2D)autofocus algorithms didn’t take advantage of the priori information on the structure of phase error .They often suffered from lack of redundancy to accurately estimate the 2D phase error .In this paper ,a knowledge aided(KA)2D autofocus approach is presented ,which is based on exploiting the priori knowledge on the phase error structure .First ,as a prerequisite for the proposed KA method ,the analytical structure of residual 2D phase error in SAR (Synthetic Aperture Radar )imagery is investigated in the polar format algorithm framework .Then ,by incorporating this prior information ,a 2D autofocus approach is proposed .The new method only requires an estimate of azimuth 1D phase error ,while the 2D phase errors can then be computed directly from the estimated azimuth phase error .Experimental results indicate the effectiveness of the proposed method .