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一種基于方位譜重采樣的大斜視子孔徑SAR成像改進(jìn)Omega-K算法

懷園園 梁毅 李震宇 邢孟道

懷園園, 梁毅, 李震宇, 邢孟道. 一種基于方位譜重采樣的大斜視子孔徑SAR成像改進(jìn)Omega-K算法[J]. 電子與信息學(xué)報(bào), 2015, 37(7): 1743-1750. doi: 10.11999/JEIT141383
引用本文: 懷園園, 梁毅, 李震宇, 邢孟道. 一種基于方位譜重采樣的大斜視子孔徑SAR成像改進(jìn)Omega-K算法[J]. 電子與信息學(xué)報(bào), 2015, 37(7): 1743-1750. doi: 10.11999/JEIT141383
Huai Yuan-yuan, Liang Yi, Li Zhen-yu, Xing Meng-dao. Modified Omega-K Algorithm for Sub-aperture High Squint SAR Imaging Based on Azimuth Resampling[J]. Journal of Electronics & Information Technology, 2015, 37(7): 1743-1750. doi: 10.11999/JEIT141383
Citation: Huai Yuan-yuan, Liang Yi, Li Zhen-yu, Xing Meng-dao. Modified Omega-K Algorithm for Sub-aperture High Squint SAR Imaging Based on Azimuth Resampling[J]. Journal of Electronics & Information Technology, 2015, 37(7): 1743-1750. doi: 10.11999/JEIT141383

一種基于方位譜重采樣的大斜視子孔徑SAR成像改進(jìn)Omega-K算法

doi: 10.11999/JEIT141383
基金項(xiàng)目: 

國(guó)家自然科學(xué)青年基金(61101245)和中央高校基本科研業(yè)務(wù)費(fèi)專項(xiàng)資金(K5051302046)

Modified Omega-K Algorithm for Sub-aperture High Squint SAR Imaging Based on Azimuth Resampling

  • 摘要: 斜視SAR數(shù)據(jù)兩維波數(shù)域支撐區(qū)具有斜拉特性,并且斜視角越大,斜拉越明顯;在大斜視成像時(shí),常規(guī)Omega-K成像直接選取矩形支撐區(qū)進(jìn)行處理,支撐區(qū)利用率低,難以滿足成像分辨率要求。針對(duì)子孔徑大斜視SAR數(shù)據(jù)成像,該文提出一種基于方位譜重采樣的改進(jìn)Omega-K算法。該算法通過(guò)坐標(biāo)軸旋轉(zhuǎn),實(shí)現(xiàn)波數(shù)譜支撐區(qū)利用率的最大化,針對(duì)伴隨的方位空變問(wèn)題,采用方位譜重采樣方法校正空變性,實(shí)現(xiàn)方位統(tǒng)一聚焦。另外,由于對(duì)于子孔徑數(shù)據(jù)處理,考慮位置支撐區(qū)受限,不同于傳統(tǒng)Omega-K方法,改進(jìn)Omega-K算法在方位波數(shù)域成像,避免了位置域成像需要的大量補(bǔ)零操作,提高了處理效率。點(diǎn)目標(biāo)數(shù)據(jù)仿真和實(shí)測(cè)數(shù)據(jù)處理驗(yàn)證了該文算法的有效性與實(shí)用性。
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出版歷程
  • 收稿日期:  2014-10-29
  • 修回日期:  2015-02-06
  • 刊出日期:  2015-07-19

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