Unitary ESPRIT Based Multiband Fusion ISAR Imaging
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摘要:
多频带融合成像可有效提高ISAR成像的距离分辨率。传统的ESPRIT谱估计融合算法只利用了复数观测数据本身，而没有利用其共轭数据。该文提出对合成复观测数据及其共轭的酉ESPRIT法进行调整以实现基于酉ESPRIT法的多频带融合ISAR成像。酉ESPRIT法充分利用复数观测数据信息，更有利于多频带融合的频谱估计和ISAR成像。针对多频带融合中目标散射点越分辨单元徙动校正的问题，调整了传统校正处理的步骤，分别在多频带融合前进行越距离单元徙动校正和融合后进行越多普勒单元徙动校正，避免了回波中的快时间频率-慢时间耦合项以及时域相位补偿对频域融合处理的影响，从而得到效果更好的多频带融合ISAR图像。仿真和实测数据结果表明所提方法不但能得到高质量的融合ISAR图像，也具有更优的抗噪性能和更高的运算效率。
Abstract:Multiband fusion imaging can effectively improve the range resolution of Inverse Synthetic Aperture Radar (ISAR) imaging. The traditional Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) spectral estimation signal fusion algorithm uses only the complex measured data without using their conjugate data. This paper proposes to modify the unitary ESPRIT method, which is based on synthesizing complex observation data and its conjugate data, to achieve unitary ESPRIT based multiband fusion ISAR imaging. The unitary ESPRIT method makes full use of the information of complex observations, which is more beneficial to multiband frequency spectrum estimation and ISAR imaging. Furthermore, for the correction of Migration Through Resolution Cell (MTRC) of scatterers in multiband fusion, the traditional processing flow is adjusted and optimized. The migration through range cell correction and the migration through Doppler cell correction are performed before and after the multiband fusion respectively, which avoids the influence of the fast time frequency - slow time coupling in the echo and the phase compensation on the spectrum fusion processing, thereby a better multiband fusion ISAR image is obtained. Simulation and real data experimental results show that the proposed methods can not only get high quality ISAR images, but also have good antinoise performance and higher computational efficiency.
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CUOMO K M, PION J E, and MAYHAN J T. Ultrawide-band coherent processing[J]. IEEE Transactions on Antennas & Propagation, 1999, 47(6): 1094–1107. doi: 10.1109/8.777137 田彪, 刘洋, 徐世友, 等. 基于几何绕射理论模型高精度参数估计的多频带合成成像[J]. 电子与信息学报, 2013, 35(7): 1532–1539. doi: 10.3724/SP.J.1146.2012.01364TIAN Biao, LIU Yang, XU Shiyou, et al. Multi-band fusion imaging based on high precision parameter estimation of geometrical theory of diffraction model[J]. Journal of Electronics &Information Technology, 2013, 35(7): 1532–1539. doi: 10.3724/SP.J.1146.2012.01364 马俊涛, 高梅国, 董健. 基于稀疏迭代协方差估计的缺失数据谱分析及时域重建方法[J]. 电子与信息学报, 2016, 38(6): 1431–1437. doi: 10.11999/JEIT151008MA Juntao, GAO Meiguo, and DONG Jian. Sparse iterative covariance estimation-based approach for spectral analysis and reconstruction of missing data[J]. Journal of Electronics &Information Technology, 2016, 38(6): 1431–1437. doi: 10.11999/JEIT151008 ZHOU Feng and BAI Xueru. High-resolution sparse subband imaging based on Bayesian learning with hierarchical priors[J]. IEEE Transactions on Geoscience & Remote Sensing, 2018, 56(8): 4568–4580. doi: 10.1109/TGRS.2018.2827072 LEUNG H and LIU Xiaoxiang. Resolution enhancement in passive SAR imaging using distributed multiband fusion[C]. IEEE Antennas & Propagation Society International Symposium, Orlando, USA, 2013: 1026–1027. doi: 10.1109/aps.2013.6711173. TIAN Biao, CHEN Zengping, and XU Shiyou. Sparse subband fusion imaging based on parameter estimation of geometrical theory of diffraction model[J]. IET Radar Sonar & Navigation, 2013, 8(4): 318–326. doi: 10.1049/iet-rsn.2013.0192 TIAN Jihua, SUN Jinping, WANG Guohua, et al. Multiband radar signal coherent fusion processing with IAA and apFFT[J]. IEEE Signal Processing Letters, 2013, 20(5): 463–466. doi: 10.1109/LSP.2013.2251631 王成, 胡卫东, 杜小勇, 等. 稀疏子带的多频段雷达信号融合超分辨距离成像[J]. 电子学报, 2006, 34(6): 985–990. doi: 10.3321/j.issn:0372-2112.2006.06.003WANG Cheng, HU Weidong, DU Xiaoyong, et al. The super-resolution range imaging based on sparse band multiple frequency bands radars signal fusion[J]. Acta Electronica Sinica, 2006, 34(6): 985–990. doi: 10.3321/j.issn:0372-2112.2006.06.003 王成, 胡卫东, 郁文贤. 基于ESPRIT-LS的幅相补偿参数估计算法[J]. 系统工程与电子技术, 2006, 28(3): 350–354. doi: 10.3321/j.issn:1001-506X.2006.03.008WANG Cheng, HU Weidong, and YU Wenxian. ESPRIT-LS based amplitude-phase compensation parameters estimation algorithm[J]. Systems Engineering &Electronics, 2006, 28(3): 350–354. doi: 10.3321/j.issn:1001-506X.2006.03.008 ZOU Yongqiang, GAO Xunzhang, LI Xiang, et al. A matrix pencil algorithm based multiband iterative fusion imaging method[J]. Scientific Reports, 2016, 6: 19440. doi: 10.1038/srep19440 HAARDT M and NOSSEK J A. Unitary ESPRIT: How to obtain increased estimation accuracy with a reduced computational burden[J]. IEEE Transactions on Signal Processing, 1995, 43(5): 1232–1242. doi: 10.1109/78.382406 冯德军, 王雪松, 陈志杰, 等. 酉ESPRIT超分辨ISAR成像方法[J]. 电子学报, 2005, 33(12): 2097–2100. doi: 10.3321/j.issn:0372-2112.2005.12.001FENG Dejun, WANG Xuesong, CHEN Zhijie, et al. Super-resolution ISAR imaging using unitary ESPRIT[J]. Acta Electronica Sinica, 2005, 33(12): 2097–2100. doi: 10.3321/j.issn:0372-2112.2005.12.001 WANG Xin, ZHANG Min, and ZHAO Jia. Efficient cross-range scaling method via two-dimensional unitary esprit scattering center extraction algorithm[J]. IEEE Geoscience & Remote Sensing Letters, 2017, 12(5): 928–932. doi: 10.1109/LGRS.2014.2367521 LI Jianfeng, JIANG Defu, and ZHANG Xiaofei. DOA estimation based on combined unitary ESPRIT for coprime MIMO radar[J]. IEEE Communications Letters, 2017, 21(1): 96–99. doi: 10.1109/lcomm.2016.2618789 WANG Xin, ZHANG Min, and ZHAO Jia. Super-resolution ISAR imaging via 2D unitary ESPRIT[J]. Electronics Letters, 2015, 51(6): 519–521. doi: 10.1049/el.2014.3518 王欣. 基于酉ESPRIT的超分辨ISAR成像及其应用[D]. [博士论文], 西安电子科技大学, 2015: 34–39.WANG Xin. Unitary ESPRIT based superresolution ISAR imaging and its applications[D]. [Ph.D. dissertation], Xidian University, 2015: 34–39. ZHAO Jia, ZHANG Min, WANG Xin, et al. Three-dimensional super resolution ISAR imaging based on 2D unitary ESPRIT scattering centre extraction technique[J]. IET Radar Sonar & Navigation, 2017, 11(1): 98–106. doi: 10.1049/iet-rsn.2016.0049 XIONG Di, WANG Junling, QI Xiaoyang, et al. A coherent compensation method for multiband fusion imaging[C], IEEE Radar Conference, Seattle, USA, 2017: 1024–1027. doi: 10.1109/radar.2017.7944354. 郭宝锋, 尚朝轩, 王俊岭, 等. 双基地角时变下的逆合成孔径雷达越分辨单元徙动校正算法[J]. 物理学报, 2014, 63(23): 408–419. doi: 10.7498/aps.63.238406GUO Baofeng, SHANG Chaoxuan, WANG Junling, et al. Correction of migration through resolution cell in bistatic inverse synthetic aperture radar in the presence of time-varying bistatic angle[J]. Acta Physica Sinica, 2014, 63(23): 408–419. doi: 10.7498/aps.63.238406 -
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