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

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)

計(jì)量
- 文章訪問(wèn)數(shù): 2354
- HTML全文瀏覽量: 172
- PDF下載量: 640
- 被引次數(shù): 0
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

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

摘要

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。
- SAR成像 /
- 大斜視 /
- 子孔徑 /
- 方位譜重采樣 /
- 改進(jìn)Omega-K算法
Abstract: Due to the skew Region Of Support (ROS) of the two-dimensional wavenumber domain for high squint SAR data, conventional Omega-K algorithm can not exploit the ROS efficiently enough and degrades the resolution when choosing the square region to process. So a modified Omega-K algorithm is proposed in this paper to deal with the high squint SAR data for sub-aperture imaging. The maximum usage of ROS is obtained by the coordinate axis rotation. For the following azimuth dependence, the method of azimuth resampling is adopted to realize the uniform focusing. Compared with the traditional Omega-K method, the modified Omega-K algorithm is focused in azimuth wavenumber-domain because of the limitation of the azimuth sub-aperture ROS in order to avoid zero padding operation, and increase efficiency. Simulation results and raw data processing validate the effectiveness of the proposed algorithm.
- SAR imaging /
- High squint /
- Sub-aperture /
- Azimuth resampling /
- Modified Omega-K algorithm

HTML全文

參考文獻(xiàn)(19)

姚迪, 劉峰, 龍騰. 機(jī)載合成孔徑雷達(dá)子孔徑實(shí)時(shí)處理方法研究[J]. 現(xiàn)代雷達(dá), 2006, 28(10): 53-55.

Yao Di, Liu Feng, and Long Teng. Study on airborne SAR subaperture real-time processing method[J]. Modern Radar, 2006, 28(10): 53-55.

Tang Yu, Zhang bo, Xing Meng-dao, et al.. Azimuth overlapped subaperture algorithm in frequency domain for highly squinted synthetic aperture radar[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(4): 692-696.

Sun Yi, Jing Xiao-jun, Sun Song-lin, et al.. The subaperture secondary range compression algorithm for near space squint SAR[C]. 2013 IEEE International Symposium on Signal Processing and Information Technology, Athens, Greece, 2013: 338-343.

Yeo Tat-soon, Tan Ngee-leng, Zhang Cheng-bo, et al.. A new subaperture approach to high squint SAR processing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(5): 954-968.

保錚, 邢孟道, 王彤. 雷達(dá)成像技術(shù)[M]. 北京: 電子工業(yè)出版社, 2010: 173-177.

Bamler R. A comparison of range-Doppler and wavenumber domain SAR focusing algorithms[J]. IEEE Transactions on Geoscience and Remote Sensing, 1992, 30(4): 706-713.

Cumming I G and Wong F H. Digital Processing of Synthetic Aperture Radar Data: Algorithm and Implementation[M]. Norwood, MA: Artech House, 2005: 219-244.

Zhang Lei, Sheng Jia-lian, Xing Meng-dao, et al.. Wavenumber-domain autofocusing for highly squinted UAV SAR imagery[J]. IEEE Sensors Journal, 2012, 12(5): 1574-1588.

Xiong Tao, Xing Meng-dao, Xia Xiang-gen, et al.. New applications of Omega-K algorithm for SAR data processing using effective wavelength at high squint[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(5): 3156-3169.

An Dao-xiang, Huang Xiao-tao, Jin Tian, et al.. Extended two-step focusing approach for squinted spotlight SAR imaging[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(7): 2889-2900.

肖忠源, 徐華平, 李春生. 彈載斜視SAR成像的改進(jìn)波數(shù)域算法[J]. 電子與信息學(xué)報(bào), 2011, 33(6): 1453-1458.

Xiao Zhong-yuan, Xu Hua-ping, and Li Chun-sheng. A modified wave-number domain algorithm for missile-borne squinted SAR data processing[J]. Journal of Electronics Information Technology, 2011, 33(6): 1453-1458.

楊軍, 孫光才, 吳玉峰, 等. 基于方位譜分析的斜視TOPS SAR子孔徑成像方法[J]. 電子與信息學(xué)報(bào), 2014, 36(4): 923-930.

Yang Jun, Sun Guang-cai, Wu Yu-feng, et al.. A subaperture imaging algorithm for squint TOPS SAR based on SPECAN technique[J]. Journal of Electronics Information Technology, 2014, 36(4): 923-930.

Carrara W C, Goodman R, Majewski R, et al.. Spotlight Synthetic Aperture Radar: Signal Processing Algorithms[M]. Boston: Artech House, 1995: 192-200.

肖忠源, 徐華平, 李春生. 基于俯沖模型的頻域距離走動(dòng)校正NLCS-SAR成像算法[J]. 電子與信息學(xué)報(bào), 2013, 35(5): 1090-1096.

Xiao Zhong-yuan, Xu Hua-ping, and Li Chun-sheng. NLCS- SAR imaging algorithm with range-walk correction in frequency domain based on dive model[J]. Journal of Electronics Information Technology, 2013, 35(5): 1090-1096.

Zhang Shuang-xi, Xing Meng-dao, Xia Xiang-gen, et al.. Focus improvement of high-Squint SAR based on azimuth dependence of quadratic range cell migration correction[J]. IEEE Geoscience Remote Sensing Letters, 2013, 10(1): 150-154.

相關(guān)文章

施引文獻(xiàn)

資源附件(0)

訪問(wèn)統(tǒng)計(jì)