一種大轉(zhuǎn)角ISAR兩維自聚焦平動補償方法
doi: 10.11999/JEIT170303
基金項目:
國家自然科學基金重大研究計劃培育項目(91438106)，國家自然科學基金創(chuàng)新群體(61621005)
A Two Dimensional Autofocus Translation Compensation Method for Wide-angle ISAR Imaging
Funds:
The Major Research Plan of the National Natural Science Foundation of China (91438106), The Foundation for Innovative Research Groups of the National Natural Science Foundation of China (61621005)
-
摘要: 針對ISAR目標在大轉(zhuǎn)角情況下轉(zhuǎn)動和平動分量耦合在一起，難以對平動分量精確補償?shù)膯栴}，該文提出一種大轉(zhuǎn)角ISAR兩維自聚焦平動補償方法。首先對平動粗補償，再通過極坐標格式算法(PFA)對轉(zhuǎn)動和平動2維解耦，最后利用自聚焦算法提取誤差相位，從中估計剩余平動并補償。所提方法可以同時校正由平動引起的包絡誤差和相位誤差，且相比于傳統(tǒng)的包絡對齊級聯(lián)自聚焦的平動補償方法精度更高，相比于包絡相位聯(lián)合優(yōu)化求解方法效率更高。仿真數(shù)據(jù)和暗室實測數(shù)據(jù)的實驗結(jié)果證了所提方法的有效性與實用性。Abstract: For non-cooperative ISAR targets, the rotation motion and the translation motion are coupled under wide-angle circumstance, and it is hard to compensate the translation motion precisely. A two dimensional autofocus translation compensation method for wide-angle ISAR imaging is proposed. Firstly, the translation motion is compensated coarsely; then, two dimensional coupling between rotation and translation is decoupled through Polar Format Algorithm (PFA); finally, the error phase is extracted by autofocus algorithm and then the residual translation is estimated from the error phase. The proposed method can correct the envelope and phase errors simultaneously, and compared with traditional translation compensation methods, range alignment combining with autofocus, the proposed method has a higher precision; compared with the methods of optimization for jointing alignment and phase, the proposed method is more efficient. The experimental results using both simulated data and measured data collected in microwave chamber confirm the validation and practicality of the proposed algorithm.
-
WU Min, ZHANG Lei, LIU Songyang, et al. OFDM-ISAR Sparse Optimization Imaging and Motion Compensation[J]. Journal of Radars, 2016, 5(1): 72-81. doi: 10.12000/JR16017. 吳敏, 張磊, 劉松楊, 等. OFDM-ISAR的稀疏優(yōu)化成像與運動補償[J]. 雷達學報, 2016, (1): 72-81. doi: 10.12000/JR 16017. 陳文峰, 李少東, 楊軍, 等. 基于線性Bregman迭代類的多量測向量ISAR成像算法研究[J]. 雷達學報, 2016, 5(4): 389-401. doi: 10.12000/JR16057. CHEN Wenfeng, LI Shaodong, YANG Jun, et al. Multiple Measurement Vectors ISAR Imaging Algorithm Based on a Class of Linearized Bregman Iteration[J]. Journal of Radars, 2016, 5(4): 389-401. doi: 10.12000/JR16057. LI Chenchen J and LING Hao. Wide-angle ISAR imaging of vehicles[C]. 2015 9th European Conference on Antennas and Propagation (EuCAP), Lisbon, Portugal, 2015: 1-2. CHEN Chungching and ANDREWA Harry C. Target- motion-induced radar imaging[J]. IEEE Transactions on Aerospace and Electronic Systems, 1980, 16(1): 2-14. doi: 10.1109/TAES.1980.308873. ZHENG Jibin, SU Tao, ZHU Wentao, et al. ISAR imaging of targets with complex motions based on the keystone time-chirp rate distribution[J]. IEEE Transactions on Geoscience and Remote Sensing Letters, 2014, 11(7): 1275-1279. doi: 10.1109/LGRS.2013.2291992. RUAN Huang, WU Yanhong, JIA Xin, et al. Novel ISAR imaging algorithm for maneuvering targets based on a modified keystone transform[J]. IEEE Transactions on Geoscience and Remote Sensing Letters, 2014, 11(1): 128-132. doi: 10.1109/LGRS.2013.2250250. LI Xiaolong, CUI Guolong, YI Wei, et al. Range migration correction for maneuvering target based on generalized keystone transform[C]. 2015 IEEE International Radar Conference (RadarCon), Arlington, VA, USA, 2015: 0095-0099. doi: 10.1109/RADAR.2015.7130977. LIU Yiu, XU Shiyou, CHEN Zengping, et al. MTRC compensation in high-resolution ISAR imaging via improved polar format algorithm based on ICPF[J]. EURASIP Journal on Advances in Signal Processing, 2014, 2014(1): 1-17. doi: 10.1186/1687-6180-2014-179. ZHU Daiyin, WANG Ling, YU Yusheng, et al. Robust ISAR range alignment via minimizing the entropy of the average range profile[J]. IEEE Transactions on Geoscience and Remote Sensing Letters, 2009, 6(4): 204-208. doi: 10.1109/ LGRS.2008.2010562. PENG Shibao, XU Jia, WANG Libao et al. A new ISAR range alignment method based on particle swarm optimizer[C]. 2009 IEEE 2nd Asian-Pacific. Conference. Synth. Aperture Radar (APSAR09), Xian, China, 2009: 618-621. doi: 10.1109/APSAR.2009.5374278. 徐剛, 楊磊, 張磊, 等. 一種加權(quán)最小熵的 ISAR 自聚焦算法[J]. 電子與信息學報, 2011, 33(8): 1809-1815. doi: 10.3724/ SP.J.1146.2010.01153. XU Gang, YANG Lei, ZHANG Lei, et al. Weighted minimum entropy autofocus algorithm for ISAR imaging[J]. Journal of Electronics Information Technology, 2011, 33(8): 1809-1815. doi: 10.3724/SP.J.1146.2010.01153. 楊磊, 熊濤, 張磊, 等. 應用聯(lián)合自聚焦實現(xiàn)低信噪比 ISAR 成像平動補償[J]. 西安電子科技大學學報, 2012, 39(3): 63-71. doi: 10.3969/j.issn.1001-2400.2012.03.010. YANG Lei, XIONG Tao, ZHANG Lei, et al. Translational motion compensation for ISAR imaging based on joint autofocusing under the low SNR[J]. Journal of Xidian University, 2012, 39(3): 63-71. doi: 10.3969/j.issn.1001-2400. 2012.03.010. ZHANG Lei, SHENG Jialian, DUAN Jia, et al. Translational motion compensation for ISAR imaging under low SNR by minimum entropy[J]. EURASIP Journal on Advances in Signal Processing, 2013, 2013(1): 1-19. doi: 10.1186/1687- 6180-2013-33. LIU Lei, ZHOU Feng, TAO Mingliang, et al. Adaptive translational motion compensation method for ISAR imaging under low SNR based on particle swarm optimization[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(11): 5146-5157. doi: 10.1109/JSTARS.2015.2491307. NOVIELLO C, FORNARO G, BRACE P, et al. Fast and accurate ISAR focusing based on a Doppler parameter estimation algorithm[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(3): 349-353. doi: 10.1109/LGRS. 2016.2641498. YANG Lei, XING Mengdao, WANG Yong, et al. Compensation for the NsRCM and phase error after polar format resampling for airborne spotlight SAR raw data of high resolution[J]. IEEE Transactions on Geoscience and Remote Sensing Letters, 2013, 10(1): 165-169. doi: 10.1109/ LGRS.2012.2196676. -
計量
- 文章訪問數(shù): 1717
- HTML全文瀏覽量: 279
- PDF下載量: 311
- 被引次數(shù): 0
下載:
