Citation: | Xu C, Jin K, Wei K. Research progress of synthetic aperture ladar techniques[J]. Opto-Electron Eng, 2024, 51(3): 240007. doi: 10.12086/oee.2024.240007 |
[1] | 李晟, 王博文, 管海涛, 等. 远场合成孔径计算光学成像技术: 文献综述与最新进展[J]. 光电工程, 2023, 50(10): 230090. doi: 10.12086/oee.2023.230090 Li S, Wang B W, Guan H T, et al. Far-field computational optical imaging techniques based on synthetic aperture: a review[J]. Opto-Electron Eng, 2023, 50(10): 230090. doi: 10.12086/oee.2023.230090 |
[2] | Cumming I G, Wong F H. Digital Signal Processing of Synthetic Aperture Radar Data: Algorithms and Implementation[M]. Boston: Artech House, 2004. |
[3] | Brown W M. Synthetic aperture radar[J]. IEEE Trans Aerosp Electron Syst, 1967, AES-3(2): 217−229. doi: 10.1109/TAES.1967.5408745 |
[4] | Wiley C A. Pulsed Doppler radar methods and apparatus: 3196436[P]. 1965-07-20. |
[5] | 丁俊华, 袁明辉. 基于双分支多尺度融合网络的毫米波SAR图像多目标语义分割方法[J]. 光电工程, 2023, 50(12): 230242. doi: 10.12086/oee.2023.230242 Ding J H, Yuan M H. A multi-target semantic segmentation method for millimetre wave SAR images based on a dual-branch multi-scale fusion network[J]. Opto-Electron Eng, 2023, 50(12): 230242. doi: 10.12086/oee.2023.230242 |
[6] | 赵洪强, 张星祥, 王夺, 等. SAR实时成像光学处理器光机系统设计[J]. 光电工程, 2022, 49(9): 210421. doi: 10.12086/oee.2022.210421 Zhao H Q, Zhang X X, Wang D, et al. Optical-mechanical system design of SAR real-time imaging optical processor[J]. Opto-Electron Eng, 2022, 49(9): 210421. doi: 10.12086/oee.2022.210421 |
[7] | 刘立人. 高分辨率遥感新途径−合成孔径激光成像雷达[J]. 科学, 2014, 66(6): 25−29. doi: 10.3969/j.issn.0368-6396.2014.06.006 Liu L R. A new way to high-resolution remote sensing: synthetic aperture imaging ladar[J]. Science, 2014, 66(6): 25−29. doi: 10.3969/j.issn.0368-6396.2014.06.006 |
[8] | 吴谨. 关于合成孔径激光雷达成像研究[J]. 雷达学报, 2012, 1(4): 353−360. doi: 10.3724/SP.J.1300.2012.20076 Wu J. On the development of synthetic aperture ladar imaging[J]. J Radars, 2012, 1(4): 353−360. doi: 10.3724/SP.J.1300.2012.20076 |
[9] | Lucke R L, Rickard L, Bashkansky M, et al. Synthetic aperture ladar (SAL): fundamental theory, design equations for a satellite system, and laboratory demonstration[R]. Washington: Naval Research Laboratory, 2002. |
[10] | 李道京, 高敬涵, 崔岸婧, 等. 成像探测相干激光雷达技术研究进展[J]. 现代雷达, 2023, 45(11): 1−6. doi: 10.16592/j.cnki.1004-7859.2023.11.001 Li D J, Gao J H, Cui A J, et al. Research progress of coherent ladar technology for imaging and detection[J]. Mod Radar, 2023, 45(11): 1−6. doi: 10.16592/j.cnki.1004-7859.2023.11.001 |
[11] | Aleksoff C C, Accetta J S, Peterson L M, et al. Synthetic aperture imaging with a pulsed Co2 tea laser[J]. Proc SPIE, 1987, 783: 29−41. doi: 10.1117/12.940575 |
[12] | Aleksoff C C. Interferometric two-dimensional imaging of rotating objects[J]. Opt Lett, 1977, 1(2): 54−55. doi: 10.1364/OL.1.000054 |
[13] | Aleksoff C C. Synthetic interferometric imaging technique for moving objects[J]. Appl Opt, 1976, 15(8): 1923−1929. doi: 10.1364/AO.15.001923 |
[14] | Aleksoff C C, Christensen C R. Holographic Doppler imaging of rotating objects[J]. Appl Opt, 1975, 14(1): 134−141. doi: 10.1364/AO.14.000134 |
[15] | Lewis T S, Hutchins H S. A synthetic aperture at 10.6 microns[J]. Proc IEEE, 1970, 58(10): 1781−1782. doi: 10.1109/PROC.1970.8012 |
[16] | Marcus S, Colella B D, Green T J. Solid-state laser synthetic aperture radar[J]. Appl Opt, 1994, 33(6): 960−964. doi: 10.1364/AO.33.000960 |
[17] | Green T J, Marcus S, Colella B D. Synthetic-aperture-radar imaging with a solid-state laser[J]. Appl Opt, 1995, 34(30): 6941−6949. doi: 10.1364/AO.34.006941 |
[18] | Yoshikado S, Aruga T. Short-range verification experiment of a trial one-dimensional synthetic aperture infrared laser radar operated in the 10-µm band[J]. Appl Opt, 2000, 39(9): 1421−1425. doi: 10.1364/AO.39.001421 |
[19] | Yoshikado S, Aruga T. Feasibility study of synthetic aperture infrared laser radar techniques for imaging of static and moving objects[J]. Appl Opt, 1998, 37(24): 5631−5639. doi: 10.1364/AO.37.005631 |
[20] | Bashkansky M, Lucke R L, Funk E E, et al. Synthetic aperture imaging at 1.5μ: laboratory demonstration and potential application to planet surface studies[J]. Proc SPIE, 2002, 4849: 48−56. doi: 10.1117/12.460767 |
[21] | Bashkansky M, Lucke R L, Funk E, et al. Two-dimensional synthetic aperture imaging in the optical domain[J]. Opt Lett, 2002, 27(22): 1983−1985. doi: 10.1364/OL.27.001983 |
[22] | Karr T J. Synthetic aperture ladar resolution through turbulence[J]. Proc SPIE, 2003, 4976: 22−33. doi: 10.1117/12.479209 |
[23] | Lucke R L. Synthetic aperture ladar simulations with phase screens and Fourier propagation[C]//Proceedings of 2004 IEEE Aerospace Conference Proceedings, 2004. https://doi.org/10.1109/AERO.2004.1367959. |
[24] | Schumm B E, Dierking M P. Wave optics simulations of synthetic aperture ladar performance through turbulence[J]. J Opt Soc Am A, 2017, 34(10): 1888−1895. doi: 10.1364/JOSAA.34.001888 |
[25] | Rustowicz R M, Ross J W, Barnes L J, et al. Atmospheric effects and impact on target classification for Synthetic Aperture Ladar (SAL) imagery[J]. Proc SPIE, 2018, 10636: 1063609. doi: 10.1117/12.2303925 |
[26] | 艾则孜姑丽·阿不都克热木, 陶志炜, 刘世韦, 等. 大气湍流对接收光场时间相干特性的影响[J]. 物理学报, 2022, 71(23): 234201. doi: 10.7498/aps.71.20221202 Azizigul A, Tao Z W, Liu S W, et al. Influence of atmospheric turbulence on temporal coherence characteristics of received optical field[J]. Acta Phys Sin, 2022, 71(23): 234201. doi: 10.7498/aps.71.20221202 |
[27] | Barber Z W, Dahl J R. Sensitivity in synthetic aperture ladar imaging[C]//Proceedings of 2014 Conference on Lasers and Electro-Optics (CLEO) - Laser Science to Photonic Applications, 2014. |
[28] | Barber Z W, Dahl J R. Synthetic aperture ladar imaging demonstrations and information at very low return levels[J]. Appl Opt, 2014, 53(24): 5531−5537. doi: 10.1364/AO.53.005531 |
[29] | Cai G Y, Hou P P, Ma X P, et al. The laser linewidth effect on the image quality of phase coded synthetic aperture ladar[J]. Opt Commun, 2015, 356: 495−499. doi: 10.1016/j.optcom.2015.08.033 |
[30] | 许倩, 周煜, 孙建锋, 等. 合成孔径激光成像雷达时空散斑效应模拟与分析[J]. 光学学报, 2013, 33(10): 1028002. doi: 10.3788/AOS201333.1028002 Xu Qian, Zhou Yu, Sun Jianfeng, et al. Analysis and Simulation of Space-Time Speckle Effect Based on Synthetic Aperture Imaging Ladar[J]. Acta Optica Sinica, 2013, 33(10): 1028002. doi: 10.3788/AOS201333.1028002 |
[31] | 刘立人. 合成孔径激光成像雷达(VI): 时空散斑效应和外差探测信噪比[J]. 光学学报, 2009, 29(8): 2326−2332. doi: 10.3788/AOS20092908.2326 Liu L R. Synthetic aperture imaging ladar (VI): space-time speckle effect and heterodyne signal-to-noise ratio[J]. Acta Opt Sin, 2009, 29(8): 2326−2332. doi: 10.3788/AOS20092908.2326 |
[32] | 许倩, 周煜, 孙建锋, 等. 合成孔径激光成像雷达散斑天线接收特性分析[J]. 光学学报, 2014, 34(3): 0328002. doi: 10.3788/AOS201434.0328002 Xu Q, Zhou Y, Sun J F, et al. Analysis of integrated speckle receiving characteristics based on synthetic aperture imaging ladar[J]. Acta Opt Sin, 2014, 34(3): 0328002. doi: 10.3788/AOS201434.0328002 |
[33] | Xu Q, Zhou Y, Sun J F, et al. Influence of space–time speckle effect on the image quality in a synthetic aperture imaging ladar[J]. Opt Commun, 2014, 333: 265−273. doi: 10.1016/j.optcom.2014.07.034 |
[34] | Xu Q, Sun Z W, Sun J F, et al. Speckle reduction of synthetic aperture imaging ladar based on wavelength characteristics[J]. Chin Opt Lett, 2014, 12(8): 080301. doi: 10.3788/COL201412.080301 |
[35] | 党文佳, 曾晓东, 冯喆珺. 目标粗糙对合成孔径激光雷达回波的退相干效应[J]. 物理学报, 2013, 62(2): 024204. doi: 10.7498/aps.62.024204 Dang W J, Zeng X D, Feng Z J. Decoherence effect of target roughness in synthetic aperture ladar[J]. Acta Phys Sin, 2013, 62(2): 024204. doi: 10.7498/aps.62.024204 |
[36] | 卢炤宇, 葛春风, 王肇颖, 等. 频率调制连续波激光雷达技术基础与研究进展[J]. 光电工程, 2019, 46(7): 190038. doi: 10.12086/oee.2019.190038 Lu Z Y, Ge C F, Wang Z Y, et al. Basics and developments of frequency modulation continuous wave LiDAR[J]. Opto-Electron Eng, 2019, 46(7): 190038. doi: 10.12086/oee.2019.190038 |
[37] | Buell W, Marechal N, Buck J, et al. Demonstration of synthetic aperture imaging ladar[J]. Proc SPIE, 2005, 5791: 152−166. doi: 10.1117/12.609682 |
[38] | Beck S M, Buck J R, Buell W F, et al. Synthetic-aperture imaging laser radar: laboratory demonstration and signal processing[J]. Appl Opt, 2005, 44(35): 7621−7629. doi: 10.1364/AO.44.007621 |
[39] | 邢孟道, 郭亮, 唐禹, 等. 合成孔径成像激光雷达实验系统设计[J]. 红外与激光工程, 2009, 38(2): 290−294. doi: 10.3969/j.issn.1007-2276.2009.02.022 Xing M D, Guo L, Tang Y, et al. Design on the experiment optical system of synthetic aperture imaging lidar[J]. Infrared Laser Eng, 2009, 38(2): 290−294. doi: 10.3969/j.issn.1007-2276.2009.02.022 |
[40] | 郭亮, 马瑜杰, 邢孟道, 等. 合成孔径成像激光雷达旋转目标成像[J]. 红外与激光工程, 2009, 38(4): 637−641. doi: 10.3969/j.issn.1007-2276.2009.04.014 Guo L, Ma Y J, Xing M D, et al. Rotating objects imaging of synthetic aperture imaging lidar[J]. Infrared Laser Eng, 2009, 38(4): 637−641. doi: 10.3969/j.issn.1007-2276.2009.04.014 |
[41] | Guo L, Xing M D, Zhang L, et al. Research on indoor experimentation of range SAL imaging system[J]. Sci China Ser E:Technol Sci, 2009, 52(10): 3098−3104. doi: 10.1007/s11431-009-0157-6 |
[42] | 刘立人, 周煜, 职亚楠, 等. 大口径合成孔径激光成像雷达演示样机及其实验室验证[J]. 光学学报, 2011, 31(9): 0900112. doi: 10.3788/AOS201131.0900112 Liu L R, Zhou Y, Zhi Y N, et al. A large-aperture synthetic aperture imaging ladar demonstrator and its verification in laboratory space[J]. Acta Opt Sin, 2011, 31(9): 0900112. doi: 10.3788/AOS201131.0900112 |
[43] | Adany P, Allen C, Hui R Q. Chirped lidar using simplified homodyne detection[J]. J Lightwave Technol, 2009, 27(16): 3351−3357. doi: 10.1109/JLT.2009.2016220 |
[44] | Wang N, Wang R, Li G Z, et al. Experiment of inverse synthetic aperture ladar at 1.1 km[J]. Proc SPIE, 2016, 10155: 101551G. doi: 10.1117/12.2246531 |
[45] | Song Z Q, Mo D, Wang N, et al. Inverse synthetic aperture ladar autofocus imaging algorithm for micro-vibrating satellites based on two prominent points[J]. Appl Opt, 2019, 58(25): 6775−6783. doi: 10.1364/AO.58.006775 |
[46] | Wang N, Wang R, Mo D, et al. Inverse synthetic aperture LADAR demonstration: system structure, imaging processing, and experiment result[J]. Appl Opt, 2018, 57(2): 230−236. doi: 10.1364/AO.57.000230 |
[47] | Mo D, Wang R, Wang N, et al. Three-dimensional inverse synthetic aperture lidar imaging for long-range spinning targets[J]. Opt Lett, 2018, 43(4): 839−842. doi: 10.1364/OL.43.000839 |
[48] | 张珂殊, 李光祚, 王然, 等. 机载激光合成孔径雷达研究[C]//第四届高分辨率对地观测学术年会论文集, 2017: 12. Zhang K S, Li G Z, Wang R, et al. The study on airborne laser synthetic aperture radar[C]//Proceedings of the 4th China High Resolution Earth Observation Conference, 2017: 12. |
[49] | Mo D, Wang R, Wang N, et al. Experiment of inverse synthetic aperture LADAR on real target[C]//Proceedings of 2017 7th IEEE International Conference on Electronics Information and Emergency Communication, 2017: 319–321. https://doi.org/10.1109/ICEIEC.2017.8076572. |
[50] | Li G Z, Wang N, Wang R, et al. Imaging method for airborne SAL data[J]. Electron Lett, 2017, 53(5): 351−353. doi: 10.1049/el.2016.4205 |
[51] | Li G Z, Wang R, Song Z Q, et al. Linear frequency-modulated continuous-wave ladar system for synthetic aperture imaging[J]. Appl Opt, 2017, 56(12): 3257−3262. doi: 10.1364/AO.56.003257 |
[52] | Krause B W, Buck J, Ryan C, et al. Synthetic aperture ladar flight demonstration[C]//Proceedings of 2011 - Laser Science to Photonic Applications, 2011. |
[53] | 黄宇翔, 张鸿翼, 李飞, 等. 相位调制激光雷达成像设计及仿真[J]. 红外与激光工程, 2017, 46(5): 0506003. doi: 10.3788/IRLA201746.0506003 Huang Y X, Zhang H Y, Li F, et al. Phase modulated lidar imaging design and simulation[J]. Infrared Laser Eng, 2017, 46(5): 0506003. doi: 10.3788/IRLA201746.0506003 |
[54] | 黄宇翔, 宋盛, 徐卫明, 等. 连续m序列相位调制的实时逆合成孔径激光雷达系统[J]. 激光与光电子学进展, 2017, 54(7): 072801. doi: 10.3788/LOP54.072801 Huang Y X, Song S, Xu W M, et al. Real-time inverse synthetic aperture ladar system based on continuous m-sequence phase modulation[J]. Laser Optoelectron Prog, 2017, 54(7): 072801. doi: 10.3788/LOP54.072801 |
[55] | Gao S, Zhang Z H, Yu W X, et al. Inverse synthetic aperture ladar imaging based on modified cubic phase function[J]. Appl Opt, 2021, 60(7): 2014−2021. doi: 10.1364/AO.413512 |
[56] | Xu X W, Gao S, Zhang Z H. Inverse synthetic aperture ladar demonstration and outdoor experiments[C]//Proceedings of 2018 China International SAR Symposium, 2018: 1–4. https://doi.org/10.1109/SARS.2018.8551972. |
[57] | Gao S, Zhang Z H, Xu X W, et al. The laboratory demonstration and signal processing of the inverse synthetic aperture imaging ladar[J]. Proc SPIE, 2017, 10427: 104271I. doi: 10.1117/12.2278055 |
[58] | Cui A J, Li D J, Wu J, et al. Moving target imaging of a dual-channel ISAL with binary phase shift keying signals and large squint angles[J]. Appl Opt, 2022, 61(18): 5466−5473. doi: 10.1364/AO.458595 |
[59] | Song A P, Jin K, Xu C, et al. Subcarrier modulation based phase-coded coherent lidar[J]. Opt Express, 2024, 32(1): 52−61. doi: 10.1364/OE.504166 |
[60] | Wahl D E, Eichel P H, Ghiglia D C, et al. Phase gradient autofocus-a robust tool for high resolution SAR phase correction[J]. IEEE Trans Aerosp Electron Syst, 1994, 30(3): 827−835. doi: 10.1109/7.303752 |
[61] | Eichel P H, Jakowatz C V. Phase-gradient algorithm as an optimal estimator of the phase derivative[J]. Opt Lett, 1989, 14(20): 1101−1103. doi: 10.1364/OL.14.001101 |
[62] | Chen V C. Adaptive time-frequency ISAR processing[J]. Proc SPIE, 1996, 2845: 133−140. doi: 10.1117/12.257216 |
[63] | Högbom J A. Aperture synthesis with a non-regular distribution of interferometer baselines[J]. Astron Astrophys Suppl, 1974, 15: 417−426. |
[64] | Pellizzari C J, Bos J, Spencer M F, et al. Performance characterization of Phase Gradient Autofocus for inverse synthetic aperture LADAR[C]//Proceedings of 2014 IEEE Aerospace Conference, 2014: 1–11. https://doi.org/10.1109/AERO.2014.6836491. |
[65] | 李明磊, 吴谨, 白涛, 等. 大随机相位误差下条带模式合成孔径激光雷达成像实验[J]. 中国光学, 2019, 12(1): 130−137. doi: 10.3788/co.20191201.0130 Li M L, Wu J, Bai T, et al. Stripmap mode synthetic aperture ladar imaging under large random phase errors condition[J]. Chin Opt, 2019, 12(1): 130−137. doi: 10.3788/co.20191201.0130 |
[66] | 张洁, 王然, 张珂殊. 相位梯度自聚焦算法在合成孔径激光雷达中的应用与改进[J]. 激光与光电子学进展, 2016, 53(6): 062801. doi: 10.3788/LOP53.062801 Zhang J, Wang R, Zhang K S. Application and improvement of phase gradient autofocus algorithm in synthetic aperture lidar[J]. Laser Optoelectron Prog, 2016, 53(6): 062801. doi: 10.3788/LOP53.062801 |
[67] | Song Z, Mo D, Li B, et al. Phase gradient matrix autofocus for ISAL Space-time-varied phase error correction[J]. IEEE Photonics Technol Lett, 2020, 32(6): 353−356. doi: 10.1109/LPT.2020.2974505 |
[68] | Xu G, Xing M D, Yang L, et al. Joint approach of translational and rotational phase error corrections for high-resolution inverse synthetic aperture radar imaging using minimum-entropy[J]. IET Radar Sonar Navig, 2016, 10(3): 586−594. doi: 10.1049/iet-rsn.2015.0356 |
[69] | 刘盛捷, 付翰初, 魏凯, 等. 基于Nelder-Mead单纯形法的逆合成孔径激光雷达联合补偿成像算法[J]. 光学学报, 2018, 38(7): 0711002. doi: 10.3788/AOS201838.0711002 Liu S J, Fu H C, Wei K, et al. Jointly compensated imaging algorithm of inverse synthetic aperture lidar based on nelder-mead simplex method[J]. Acta Opt Sin, 2018, 38(7): 0711002. doi: 10.3788/AOS201838.0711002 |
[70] | 李建, 王鲲鹏, 晋凯, 等. 逆合成孔径激光雷达机动目标运动补偿成像算法[J]. 光学学报, 2021, 41(19): 1928001. doi: 10.3788/AOS202141.1928001 Li J, Wang K P, Jin K, et al. Inverse synthetic aperture lidar motion compensation imaging algorithm for maneuvering targets[J]. Acta Opt Sin, 2021, 41(19): 1928001. doi: 10.3788/AOS202141.1928001 |
[71] | Li J, Jin K, Xu C, et al. Adaptive motion error compensation method based on bat algorithm for maneuvering targets in inverse synthetic aperture LiDAR imaging[J]. Opt Eng, 2023, 62(9): 093103. doi: 10.1117/1.OE.62.9.093103 |
[72] | 阮航, 张强, 杨雨昂, 等. 非均匀转动空间目标天基逆合成孔径激光雷达成像[J]. 红外与激光工程, 2023, 52(2): 20220406. doi: 10.3788/IRLA20220406 Ruan H, Zhang Q, Yang Y A, et al. Spaceborne inverse synthetic aperture lidar imaging of nonuniformly rotating orbit object[J]. Infrared Laser Eng, 2023, 52(2): 20220406. doi: 10.3788/IRLA20220406 |
[73] | Yin H F, Li Y C, Guo L, et al. Spaceborne ISAL imaging algorithm for high-speed moving targets[J]. IEEE J Sel Top Appl Earth Obs Remote Sens, 2023, 16: 7486−7496. doi: 10.1109/JSTARS.2023.3302570 |
[74] | 阮航, 吴彦鸿, 叶伟, 等. 逆合成孔径激光雷达相位误差补偿算法[J]. 激光与光电子学进展, 2013, 50(10): 102801. doi: 10.3788/LOP50.102801 Ruan H, Wu Y H, Ye W, et al. Algorithm of phase error compensation for inverse synthetic aperture ladar[J]. Laser Optoelectron Prog, 2013, 50(10): 102801. doi: 10.3788/LOP50.102801 |
[75] | 张鸿翼, 李飞, 徐卫明, 等. 利用优化算法对合成孔径激光雷达相位误差补偿的研究[J]. 电子学报, 2016, 44(9): 2100−2105. doi: 10.3969/j.issn.0372-2112.2016.09.012 Zhang H Y, Li F, Xu W M, et al. Research on the phase error compensation in synthetic aperture ladar by using optimization algorithm[J]. Acta Electron Sin, 2016, 44(9): 2100−2105. doi: 10.3969/j.issn.0372-2112.2016.09.012 |
[76] | Graham L C. Synthetic interferometer radar for topographic mapping[J]. Proc IEEE, 1974, 62(6): 763−768. doi: 10.1109/PROC.1974.9516 |
[77] | 刘立人. 自干涉合成孔径激光三维成像雷达原理[J]. 光学学报, 2014, 34(5): 0528001. doi: 10.3788/AOS201434.0528001 Liu L R. Principle of self-interferometric synthetic aperture ladar for 3D imaging[J]. Acta Opt Sin, 2014, 34(5): 0528001. doi: 10.3788/AOS201434.0528001 |
[78] | 马萌, 李道京, 杜剑波. 振动条件下机载合成孔径激光雷达成像处理[J]. 雷达学报, 2014, 3(5): 591−602. doi: 10.3724/SP.J.1300.2014.13132 Ma M, Li D J, Du J B. Imaging of airborne synthetic aperture ladar under platform vibration condition[J]. J Radars, 2014, 3(5): 591−602. doi: 10.3724/SP.J.1300.2014.13132 |
[79] | 杜剑波, 李道京, 马萌, 等. 基于干涉处理的机载合成孔径激光雷达振动估计和成像[J]. 中国激光, 2016, 43(9): 0910003. doi: 10.3788/CJL201643.0910003 Du J B, Li D J, Ma M, et al. Vibration estimation and imaging of airborne synthetic aperture ladar based on interferometry processing[J]. Chin J Lasers, 2016, 43(9): 0910003. doi: 10.3788/CJL201643.0910003 |
[80] | Hu X, Li D J. Vibration phases estimation based on multi-channel interferometry for ISAL[J]. Appl Opt, 2018, 57(22): 6481−6490. doi: 10.1364/AO.57.006481 |
[81] | Zhou K, Li D J, Gao J H, et al. Vibration phases estimation based on orthogonal interferometry of inner view field for ISAL imaging and detection[J]. Appl Opt, 2023, 62(11): 2845−2854. doi: 10.1364/AO.481186 |
[82] | Gallion P, Debarge G. Quantum phase noise and field correlation in single frequency semiconductor laser systems[J]. IEEE J Quantum Electron, 1984, 20(4): 343−349. doi: 10.1109/JQE.1984.1072399 |
[83] | 胡烜, 李道京, 赵绪锋. 基于本振数字延时的合成孔径激光雷达信号相干性保持方法[J]. 中国激光, 2018, 45(5): 0510003. doi: 10.3788/CJL201845.0510003 Hu X, Li D J, Zhao X F. Maintaining method of signal coherence in synthetic aperture ladar based on local oscillator digital delay[J]. Chin J Lasers, 2018, 45(5): 0510003. doi: 10.3788/CJL201845.0510003 |
[84] | 胡烜, 李道京, 田鹤, 等. 激光雷达信号相位误差对合成孔径成像的影响和校正[J]. 红外与激光工程, 2018, 47(3): 0306001. doi: 10.3788/IRLA201847.0306001 Hu X, Li D J, Tian H, et al. Impact and correction of phase error in ladar signal on synthetic aperture imaging[J]. Infrared Laser Eng, 2018, 47(3): 0306001. doi: 10.3788/IRLA201847.0306001 |
[85] | Gao J H, Li D J, Zhou K, et al. Maintenance method of signal coherence in lidar and experimental validation[J]. Opt Lett, 2022, 47(20): 5356−5359. doi: 10.1364/OL.470127 |
[86] | Ke J Y, Song Z Q, Wang P S, et al. Long distance high resolution FMCW laser ranging with phase noise compensation and 2D signal processing[J]. Appl Opt, 2022, 61(12): 3443−3454. doi: 10.1364/AO.454001 |
[87] | Ke J Y, Song Z Q, Cui Z M, et al. Phase noise compensation experiment with frequency modulated continuous wave laser in atmospheric propagation[J]. Opt Eng, 2022, 61(7): 073101. doi: 10.1117/1.OE.61.7.073101 |
[88] | Ito F, Fan X Y, Koshikiya Y. Long-range coherent OFDR with light source phase noise compensation[J]. J Lightwave Technol, 2012, 30(8): 1015−1024. doi: 10.1109/JLT.2011.2167598 |
[89] | Fan X Y, Koshikiya Y, Ito F. Phase-noise-compensated optical frequency domain reflectometry with measurement range beyond laser coherence length realized using concatenative reference method[J]. Opt Lett, 2007, 32(22): 3227−3229. doi: 10.1364/OL.32.003227 |
[90] | Wu S B, Mo D, Wang R, et al. Surpassing the limitation of a coherence length in lidar by digital coherence[J]. Opt Lett, 2023, 48(21): 5455−5458. doi: 10.1364/OL.498990 |
[91] | 保铮, 邢孟道, 王彤. 雷达成像技术[M]. 北京: 电子工业出版社, 2005. Bao Z, Xing M D, Wang T. Radar Imaging Technology[M]. Beijing: Publishing House of Electronics Industry, 2005. |
[92] | Yegulalp A F. Fast backprojection algorithm for synthetic aperture radar[C]//Proceedings of the 1999 IEEE Radar Conference. Radar into the Next Millennium, 1999: 60–65. https://doi.org/10.1109/NRC.1999.767270. |
[93] | Pellizzari C J, Trahan R, Zhou H Y, et al. Synthetic aperature LADAR: a model-based approach[J]. IEEE Trans Comput Imaging, 2017, 3(4): 901−916. doi: 10.1109/TCI.2017.2663320 |
[94] | Pellizzari C J, Bouman C A. Inverse synthetic aperture LADAR image construction: an inverse model-based approach[J]. Proc SPIE, 2016, 9982: 99820F. doi: 10.1117/12.2236133 |
[95] | 徐晨, 宋岸鹏, 晋凯, 等. 改进的基于光学成像模型的逆合成孔径激光雷达成像算法[J]. 激光与光电子学进展, 2023, 60(12): 1228001. doi: 10.3788/LOP221548 Xu C, Song A P, Jin K, et al. Modified imaging algorithm for inverse synthetic aperture LiDAR based on optical imaging model[J]. Laser Optoelectron Prog, 2023, 60(12): 1228001. doi: 10.3788/LOP221548 |
[96] | Buck J R, Krause B W, Malm A I R, et al. Synthetic aperture imaging at optical wavelengths[C]//Proceedings of the International Quantum Electronics Conference 2009, 2009. https://doi.org/10.1364/IQEC.2009.PThB3. |
[97] | Luan Z, Sun J F, Zhou Y, et al. Down-looking synthetic aperture imaging ladar demonstrator and its experiments over 1.2 km outdoor[J]. Chin Opt Lett, 2014, 12(11): 111101. doi: 10.3788/COL201412.111101 |
[98] | 卢智勇, 周煜, 孙建峰, 等. 机载直视合成孔径激光成像雷达外场及飞行实验[J]. 中国激光, 2017, 44(1): 0110001. doi: 10.3788/CJL201744.0110001 Lu Z Y, Zhou Y, Sun J F, et al. Airborne down-looking synthetic aperture imaging ladar field experiment and its flight testing[J]. Chine J Lasers, 2017, 44(1): 0110001. doi: 10.3788/CJL201744.0110001 |
[99] | Li G Y, Sun J F, Zhou Y, et al. Attitude-error compensation for airborne down-looking synthetic-aperture imaging lidar[J]. Opt Commun, 2017, 402: 355−361. doi: 10.1016/j.optcom.2017.05.010 |
[100] | 李光远, 卢智勇, 周煜, 等. 直视逆合成孔径激光成像雷达外场实验[J]. 光学学报, 2018, 38(4): 0401001. doi: 10.3788/LOP202158.1811017 Li G Y, Lu Z Y, Zhou Y, et al. Outdoor experiment of down-looking inverse synthetic aperture imaging lidar[J]. Acta Opt Sin, 2018, 38(4): 0401001. doi: 10.3788/LOP202158.1811017 |
[101] | Wang S, Xiang M S, Wang B N, et al. A channel phase error compensation method for multi-channel synthetic aperture ladar[J]. Optik, 2019, 178: 830−840. doi: 10.1016/j.ijleo.2018.10.074 |
[102] | Wang S, Wang B N, Xiang M S, et al. Analysis and compensation of telescopes' gaps effect on aperture synthesis in a multi-channel synthetic aperture ladar system[J]. Appl Opt, 2019, 58(18): 4884−4891. doi: 10.1364/AO.58.004884 |
[103] | Wang R R, Xiang M S, Li C. Denoising FMCW ladar signals via EEMD with singular spectrum constraint[J]. IEEE Geosci Remote Sens Lett, 2020, 17(6): 983−987. doi: 10.1109/LGRS.2019.2936603 |
[104] | Wang S, Wang B N, Xiang M S, et al. Synthetic aperture ladar motion compensation method based on symmetrical triangular linear frequency modulation continuous wave[J]. Opt Commun, 2020, 471: 125901. doi: 10.1016/j.optcom.2020.125901 |
[105] | Wang R R, Xiang M S, Wang B N, et al. Time-frequency domain nonlinear phase compensation for FMCW ladar signals[C]//Proceedings of 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020. https://doi.org/10.1109/IGARSS39084.2020.9323798. |
[106] | Wang R R, Xiang M S, Wang B N, et al. Nonlinear phase estimation and compensation for FMCW ladar based on synchrosqueezing wavelet transform[J]. IEEE Geosci Remote Sens Lett, 2021, 18(7): 1174−1178. doi: 10.1109/LGRS.2020.2997999 |
[107] | Wang R R, Wang B N, Xiang M S, et al. Simultaneous time-varying vibration and nonlinearity compensation for one-period triangular-FMCW lidar signal[J]. Remote Sens, 2021, 13(9): 1731. doi: 10.3390/rs13091731 |
[108] | 汪丙南, 赵娟莹, 李威, 等. 阵列激光合成孔径雷达高分辨成像技术研究[J]. 雷达学报, 2022, 11(6): 1110−1118. doi: 10.12000/JR22204 Wang B N, Zhao J Y, Li W, et al. Array synthetic aperture ladar with high spatial resolution technology[J]. J Radars, 2022, 11(6): 1110−1118. doi: 10.12000/JR22204 |
[109] | Xu C, Jin K, Jiang C C, et al. Amplitude compensation using homodyne detection for inverse synthetic aperture LADAR[J]. Appl Opt, 2021, 60(34): 10594−10599. doi: 10.1364/AO.440764 |
[110] | Hong K, Jin K, Song A P, et al. Low sampling rate digital dechirp for Inverse Synthetic Aperture Ladar imaging processing[J]. Opt Commun, 2023, 540: 129482. doi: 10.1016/j.optcom.2023.129482 |
[111] | Brown W M, Palermo C J. Theory of coherent systems[J]. IRE Trans Mil Electron, 1962, MIL-6(2): 187−196. doi: 10.1109/IRET-MIL.1962.5008427 |
Ladar is an active sensing technology employing laser for detecting, measuring and imaging. According to the detection modes, ladars are usually divided into two types: non-coherent ladar and coherent ladar. Coherent ladar employing heterodyne detection can provide more information, such as frequency shift and phase. This combination of features enables multi-functional, high-precision, and operationally important detection and sensing applications.
Synthetic aperture ladar (SAL) is a special type of coherent ladar whose principle is similar to synthetic aperture radar (SAR) operating in the microwave band. It utilizes a wideband modulated signal to obtain a high axial resolution, which is called range resolution. In another dimension called cross-range direction or azimuth direction, the moving ladar platform transmits and receives a series of coherent pulses, and then these pulses are coherently accumulated to achieve an equivalent large aperture. Thus, its resolution is independent of the optical aperture. Compared with SAR, it has higher imaging speed and higher imaging resolution. It can obtain images similar to what the human is used to seeing, thanks to the operation wavelength of SAL. These characteristics make SAL become a potentially valuable technology in the field of remote sensing and object identification.
Although SAL is a kind of coherent ladar, it has higher coherence requirements than other systems, which makes SAL face many technical problems like atmosphere disturbance, laser phase noise, motion errors, etc. To address these issues, considerable efforts have been undertaken by a wide array of research professionals and collaborative teams across the field. The main goal of this paper is to provide a review of the progress of these efforts and point out the challenges faced in future development. First, this paper will briefly introduce the working principle of SAL. The second part introduces the research progress of the key technologies in the field of SAL. These key technologies include the system model and basic theoretical problems, system design and architecture, laser phase noise suppression technology, motion error compensation method, and imaging algorithms. The third part reviews the progress of the outdoor experiments at home and abroad. Outdoor experiment is an important step before practical application, which is able to reveal the defects and deficiencies of the system in the real environment. Finally, we summarized the challenges that prevent SAL systems from becoming practical and provided some future directions.
Schematic diagram of SAL principle
Schematic diagram of FMCW Ladar
The SAL system and imaging result of Naval Research Laboratory[21]. (a) Experimental system; (b) Imaging result
The SAL system and imaging result of Aerospace Corporation[37]. (a) Experimental system; (b) Imaging result
The SAL system with large aperture in Shanghai Institute of Optics and Fine Mechanics, CAS[42]
FMCW-SAL system based on electro-optical modulation[44]
Schematic diagram of phase-code ladar
The phase-code SAL system in shanghai Institute of Optics and Fine Mechanics, CAS[54]
The phase-code SAL system in Institute of Optics and Electronics, CAS[59]
Experimental results of PGMA algorithm[67]. (a) Photography of the target; (b) Image formatted by ordinary FFT; (c) Image autofocused by PGA; (d) Image autofocused by PGMA
The experimental results of micro-vibration error compensation[45]. (a) Photography of the satellite model; Image formatted (b) Without phase error compensation; (c) By method using PGA algorithm; (d) By using the proposed algorithm
Schematic diagram of self-interferometer SAL[77]
Geometric model of SAL system based on interferometer processing[79]
Orthogonal interferometer ISAL imaging experiment based on time-frequency analysis[81]. (a) Geometric model of imaging; (b) Photography of the target; (c) Image without compensation; (d) Image with compensation
Correction and compensation effect of TRC and LORC[85]. (a) Photo of the target; (b) Range-doppler domain imaging results before correction; (c) Range-doppler domain imaging results after TRC correction; (d) Range-doppler domain imaging results after TRC correction and LORC compensation
Measured and compensated results for laser phase noise[90]. (a) Comparison of the measured and theoretical values for the phase of the heterodyne signal; (b) The estimation results of the laser phase noise; (c) The compensation results with Gaussian linewidth; (d) The compensation results with Lorentz linewidth
Simulation comparison results of RDA and MMBIR algorithm under different CNRs[95]. (a) 5 dB; (b) 0 dB; (c) −5 dB. The red dash area is the detail part of the images
Airborne SAL experimental results of Lockheed Martin Coherent Technologies[52]. (a) Experimental system; (b) Imaging results
Airborne SAL experiment in shanghai institute of optics and fine mechanics[98]. (a) Experiment scene; (b) The photograph of target; (c) Imaging result
Airborne SAL experiment in institute of electronics[48]. (a) Experimental scene; (b) Photograph of target; (c) Imaging result
Array SAL experiment in Institute of Electronics[96]. (a) Photograph of the target; (b) Imaging results of four channels; (c) The whole imaging result; (d) The electronic system; (e) The optical system
Outdoor experimental scene and result at 1.1 km away[109]. (a) Schematic diagram of ISAL system; (b) Photography of the transceiver; (c) Photography of the target; (d) Imaging result
Outdoor experimental result at 6.9 km away[95]. (a) Photography of the target; (b) Images recovered by RDA; (c) Images recovered by MMBIR