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| 1 | ISAR imaging based on improved phase retrieval algorithm显示文摘Traditional inverse synthetic aperture radar(ISAR)imaging methods for maneuvering targets have low resolution and poor capability of noise suppression. An ISAR imaging method of maneuvering targets based on phase retrieval is proposed,which can provide a high-resolution and focused map of the spatial distribution of scatterers on the target. According to theoretical derivation, the modulus of raw data from the maneuvering target is not affected by radial motion components for ISAR imaging system, so the phase retrieval algorithm can be used for ISAR imaging problems. However, the traditional phase retrieval algorithm will be not applicable to ISAR imaging under the condition of random noise. To solve this problem, an algorithm is put forward based on the range Doppler(RD) algorithm and oversampling smoothness(OSS) phase retrieval algorithm. The algorithm captures the target information in order to reduce the influence of the random phase on ISAR echoes, and then applies OSS for focusing imaging based on prior information of the RD algorithm. The simulated results demonstrate the validity of this algorithm, which cannot only obtain high resolution imaging for high speed maneuvering targets under the condition of random noise, but also substantially improve the success rate of the phase retrieval algorithm. | SHI Hongyin XIA Saixue TIAN Ye | 2018 | Journal of Systems Engineering and Electronics2018，29，2： | 5 |
| 2 | ISAR autofocus imaging algorithm for maneuvering targets based on deep learning and keystone transform显示文摘The issue of small-angle maneuvering targets inverse synthetic aperture radar(ISAR)imaging has been successfully addressed by popular motion compensation algorithms.However,when the target’s rotational velocity is sufficiently high during the dwell time of the radar,such compensation algorithms cannot obtain a high quality image.This paper proposes an ISAR imaging algorithm based on keystone transform and deep learning algorithm.The keystone transform is used to coarsely compensate for the target’s rotational motion and translational motion,and the deep learning algorithm is used to achieve a super-resolution image.The uniformly distributed point target data are used as the data set of the training u-net network.In addition,this method does not require estimating the motion parameters of the target,which simplifies the algorithm steps.Finally,several experiments are performed to demonstrate the effectiveness of the proposed algorithm. | SHI Hongyin LIU Yue GUO Jianwen LIU Mingxin | 2020 | Journal of Systems Engineering and Electronics2020，31，6： | 4 |
| 3 | An HDR Imaging Method With DTDI Technology for Push-Broom Cameras显示文摘通常,高动态范围(HDR ) 成像基于拿二或有不同暴露的一样的景色的更多的图画。由于在照相机和景色之间的一个高速度的相对运动,然而,要用于推扫帚遥感照相机,为这种技术是难的。为在推扫帚遥感应用的 HDR 成像的缘故,现在的纸建议没有冗余的图象传感器或光部件,能产生 HDR 图象的一个创新方法。明确地,这份报纸与数字领域 time-delay-integration (DTDI ) 采用一个区域数组互补金属氧化物半导体(互补金属氧化物半导体) 为成像的技术而不是多于一个排图象传感器采用,从而与不同暴露拍摄超过一张照片。然后由与一个简单算法熔化二幅原来的图象的一幅新 HDR 图象能被完成。由进行实验,图象的动态范围(医生) 由 26.02 dB 增加。建议方法被证明有效并且在在照相机和场面之间有一个相对运动的另外的成像应用有潜力。 | Wu SUN Chengshan HAN Xucheng XUE Hengyi LV Junxia SHI Changhong HU Xiangzhi LI Yao FU Xiaonan JIANG Liang HUANG Hongyin HAN | 2018 | Photonic Sensors2018，8，1： | 4 |
| 4 | SAR Slow Moving Target Imaging Based on Over-Sampling Smooth Algorithm显示文摘A novel Synthetic aperture radar(SAR)signal processing technique has been proposed which refocused slow moving targets based on phase retrieval algorithm. After theoretical derivation, we can get that the raw data Fourier magnitude of slow moving targets is approximate to the stationary ones in the SAR system. By applying the Fourier magnitude of received data to phase retrieval algorithms, the blur and defocusing effect caused by the moving of the targets can be eliminated. The simulated results demonstrate the validity of this algorithm. | SHI Hongyin YANG Xiaoyan ZHOU Qiuxiao LIAN Qiusheng | 2017 | Chinese Journal of Electronics2017，26，4： | 3 |
| 5 | SAR imaging method based on coprime sampling and nested sparse sampling显示文摘As the signal bandwidth and the number of channels increase, the synthetic aperture radar(SAR) imaging system produces huge amount of data according to the Shannon-Nyquist theorem, causing a huge burden for data transmission. This paper concerns the coprime sampling and nested sparse sampling,which are proposed recently but have never been applied to real world for target detection, and proposes a novel way which utilizes these new sub-Nyquist sampling structures for SAR sampling in azimuth and reconstructs the data of SAR sampling by compressive sensing(CS). Both the simulated and real data are processed to test the algorithm, and the results indicate the way which combines these new undersampling structures and CS is able to achieve the SAR imaging effectively with much less data than regularly ways required. Finally, the influence of a little sampling jitter to SAR imaging is analyzed by theoretical analysis and experimental analysis, and then it concludes a little sampling jitter have no effect on image quality of SAR. | Hongyin Shi Baojing Jia | 2015 | Journal of Systems Engineering and Electronics2015，26，6： | 2 |
| 6 | STUDY ON THE SIGNATURE OF GROUND MOVING TARGET FOR AIRBORNE SQUINT SAR IMAGING显示文摘Compared with the side-looking Synthetic Aperture Radar (SAR), the flexible beampointing of squint SAR makes great application value. This paper derives the image signature of the ground moving target after the processing of Range-Doppler (RD) algorithm, the SAR signatures of ground moving targets are analyzed, including the geometry correction, the offsets and defocusing in both range and azimuth direction. Finally, computer simulation results validate its effectiveness. The research results are especially significant for moving targets detection and parameters estimation in squint mode SAR. | Shi Hongyin Guo Xiuhua Hou Zhitao Zhou Yinqing | 2012 | Journal of Electronics(China)2012，29，6： | 2 |
| 7 | SAR imaging method for sea scene target based on improved phase retrieval algorithm显示文摘Due to the influence of the platform random motion and electromagnetic propagation in turbulent media, the synthetic aperture radar(SAR) high resolution imaging for the sea scenes where there are large amounts of water returns with some target(land) returns is very difficult. To solve this problem, a SAR imaging method based on the improved phase retrieval(PR) algorithm is proposed. First, a filter is added to the conventional PR algorithm which can reduce the influence of water returns on the reconstruction of the targets and improve the reconstruction result of the targets. Then, the corrupted phase of the Fourier transform of the intensity image in the iterative process, which can improve the stability of the iterative algorithm, is used to reduce the recovery errors, and a better recovery performance is achieved. Finally, several experiments are performed to demonstrate the advantages of the proposed method. | Hongyin Shi Qiuxiao Zhou Xiaoyan Yang Qiusheng Lian | 2016 | Journal of Systems Engineering and Electronics2016，27，6： | 0 |
| 8 | Numerical Simulation and Experimental Verification of Laser Multi‑Section Welding显示文摘To address the problems of large welding deformation and splashing in the resistance spot welding of the lubricating oil cooler plate,the laser spot welding was employed,instead of the resistance spot welding,and a novel laser spot welding was proposed,i.e.,laser multi-section welding.The major processes involved in this study referred to a finite element model of pulsed laser lap welding built by adopting SYSWELD simulation software,as well as the laser welding of various welding methods.The effect of different welding methods on the welding quality was studied,the parameters of the average power and the duty cycle were optimized in line with the comparative analysis of the experimentally achieved results and the numerical simulation.As indicated from the experimentally achieved results,when the new 6-sections welding method was adopted,the resulting welded joint achieved the most uniform heat input and the largest welding fusion area,and the tensile properties exhibited by the welded joints were significantly enhanced,whereas some pores remained.By altering the duty cycle,pores could be eliminated to further improve the quality of the joint.The mentioned process method could tackle down the problems facing conventional resistance spot welding.Furthermore,it was capable of improving the uneven heat input of the laser spot welding. | Jia Liu Tao Jiang Yan Shi Hongyin Zhu Yuchi Dai | 2022 | Chinese Journal of Mechanical Engineering2022，35，6： | 0 |
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