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| 1 | Generating dense and super-resolution ISAR image by combining bandwidth extrapolation and compressive sensing显示文摘Recent developing compressive sensing (CS) theory indicates that it is possible to obtain precise recovery of a sparse signal from very limited measurements,which provides a new way for data acquisition and signal processing as nature signals usually involve some degree of sparsity.In this paper,we present an algorithm for inversed synthetic aperture radar (ISAR) imaging with super resolution by combining CS and bandwidth extrapolation (BWE) technique.For ISAR imaging,the backscattering field of target is usually contributed by a few strong scattering centers,whose number is much less than that of image pixels.Thus,CS is intuitively suitable for constructing super resolution ISAR image.According to CS theory,the number of extracted dominating scatterers relies on the signal length,which indicates that if only limited data is available,it is difficult to generate dense ISAR image robustly by CS,and some signal components tend to lose.To soften this constraint,BWE is combined with CS imaging to increase the degree of freedom of signal while preserving its coherence.A refined CS-based formation for ISAR image-resolution enhancement is then developed.Both real and simulated data experiments are performed to evaluate the proposed approach,and an example of using this technique demonstrates the enhanced image resolution in application of maneuvering target imaging. | QUAN YingHui ZHANG Lei GUO Rui XING MengDao BAO Zheng | 2011 | Science China(Information Sciences)2011，54，10： | 15 |
| 2 | Object Detection Research of SAR Image Using Improved Faster Region-Based Convolutional Neural Network显示文摘Target detection technology of synthetic aperture radar(SAR)imageis widely used in the field of military reconnaissance and surveillance.The traditional SAR image target detection methods need to be provided a lot of empirical knowledge because the characteristics of SAR images in different configurations(attitude,pitch angle,imaging parameters,etc.)will change greatly,resulting in high generalization error.Currently,deep learning method has achieved great success in the field of image processing.Research shows that deep learning can achieve a more intrinsic description of the data,while the model has a stronger ability of modeling and generalization.In order to solve the problem of insufficient data in SAR data sets,an experimental system for acquiring SAR image data in real scenes was built.Then the transfer learning method and the improved convolution neural network algorithm(PCA+Faster R-CNN)are applied to improve the target detection precision.Finally,experimental results demonstrate the significant effectiveness of the proposed method. | Long SUN Tao WU Guangcai SUN Dazheng FENG Lieshu TONG Mengdao XING | 2020 | Journal of Geodesy and Geoinformation Science2020，3，3： | 13 |
| 3 | Narrow-band radar imaging of spinning targets显示文摘According to the characteristics of narrow-band radar echoes from spinning targets,this paper applies the complex-valued back-projection method to image formation.Since it accumulates the sinusoidal phase of spinning scatterers effectively,this method can obtain high resolution imaging.The resolution and required radar pulse repetition frequency (PRF) of this method are deduced.For imaging of fast spinning targets,however,spurious peaks appear due to azimuth down sampling with a low PRF.Therefore,a signal model of azimuth down-sampled echoes is created according to the compressed sensing (CS) theory.Then an imaging method based on orthogonal matching pursuit (OMP) is proposed according to the sparsity nature of ISAR echoes.Finally,the effectiveness of the proposed methods is demonstrated using simulated data. | BAI XueRu SUN GuangCai WU QiSong XING MengDao BAO Zheng | 2011 | Science China(Information Sciences)2011，54，4： | 9 |
| 4 | Time-frequency characteristics based motion estimation and imaging for high speed spinning targets via narrowband waveforms显示文摘This paper focuses on the motion parameters estimation and inversed synthetic aperture radar (ISAR) imaging for the high-speed spinning targets via the time-frequency characteristics. Assuming that the translational motion is compensated with the available motion compensation techniques, then the residual part of translational motion and the spinning motion are estimated with high precision based on the timefrequency characteristics. Combining with the procedure of the motion estimation, a novel coherent timefrequency spectrum intensity redistribution method, coherent single range Doppler interferometry (CSRDI), is proposed, which provides higher resolution and sustain lower signal to noise rate (SNR) than the current approach. Numerical simulation confirms the validity and high precision of the proposed approaches. | ZHANG Lei , LI YaChao, LIU Yan, XING MengDao & BAO Zheng National Lab for Radar Signal Processing, Xidian University, Xi’an 710071, China | 2010 | Science China(Information Sciences)2010，53，8： | 9 |
| 5 | Research on indoor experimentation of range SAL imaging system显示文摘By means of advantages of both SAR and lidar, the combination of the techniques of (inverse) synthetic aperture and lidar makes it possible to obtain high resolution 2-D image. In this paper, an indoor experimental system of inverse synthetic aperture lidar imaging is given and a processing approach is presented. The given system is in the mode of lidar system with separated receiver and transmitter, which can effectively eliminate the jamming from the lens or/and the intersection between two optic fibers. Based on the reference channel techniques, a method for the compensation of nonlinear frequency in the time domain is presented, which can solve the problem of nonlinear frequency efficiently. Then, with the mature inverse synthetic aperture algorithm, an image of inverse synthetic aperture lidar can be obtained, which is the first attempt in China. Finally, experimental results confirm the validity of the presented method and the feasibility of the experimental system. | GUO Liang XING MengDao ZHANG Long TANG Yu BAO Zheng | 2009 | Science China(Technological Sciences)2009，52，10： | 9 |
| 6 | Unparallel trajectory bistatic spotlight SAR imaging显示文摘A new approach for unparallel trajectory bistatic spotlight SAR imaging is proposed. The approach utilizes the concept of instantaneous Doppler wavenumber and introduces two variants, the sum-range and subtraction-range, to develop the 2D frequency analytical formula. Based on the assumption of plane wavefront, the transmitting and receiving Doppler are separated and formulated via series reversion. And frequency scaling is applied to focus image. The algorithm is with high computational efficiency, and provides well focus for limited scene imaging. Simulation result confirms the validity of the approach. | ZHANG Lei JING Wei XING MengDao BAO Zheng | 2009 | Science in China(Series F)2009，52，1： | 8 |
| 7 | ISAR imaging via sparse frequency-stepped chirp signal显示文摘Frequency-stepped chirp signal can simplify the designation of radar system.However,it has a shortcoming of Doppler ambiguity for high-speed moving targets.Therefore,it is of great significance to study how to increase its equivalent pulse repeat frequency.The back scattering field of the ISAR target has strong sparsity;that is to say,most energy is contributed merely by a few scattering centers.Hence,based on the theory of the sparse signal representation,a novel method for ISAR imaging via sparse frequency-stepped chirp signals is proposed by analyzing the signal model of the target.In the proposed method,part of sub-pulses of the frequency-stepped chirp signal is randomly selected to transmit,and then the 2D high-resolution image of the target can be constructed by sparse signal decomposition.At the cost of computational resources,the method can effectively resolve the problem of Doppler ambiguity,decrease the sidelobes and obtain a super-resolution image.Furthermore,the validity of the proposed approach is confirmed by the results of numerical simulations and real data. | WANG HongXian LIANG Yi XING MengDao ZHANG ShouHong | 2012 | Science China(Information Sciences)2012，55，4： | 6 |
| 8 | Parameter estimation of moving targets in the SAR system with a low PRF sampling rate显示文摘In the synthetic aperture radar(SAR)system with low pulse repetition frequency(PRF)sampling,it is difficult for the motion parameters estimation of the moving targets,because of the Doppler spectrum ambiguity and Doppler centroid frequency ambiguity of the echo signals.Considering that moving targets are sparsely distributed in the observed scene,their positions and velocities can be reconstructed by using the compressed sensing(CS)technique.In this paper,the range-walk correction are implemented by the Keystone transform and the sparse range-walk correction(SRWC),then the CS technique is proposed to reconstruct motion parameters by processing the azimuth signals of the moving targets.Experiments using the simulated and real data are performed,and the results confirm the validity of the proposed method. | LIU Yan WU QiSong SUN GuangCai XING MengDao LIU BaoChang BAO Zheng | 2012 | Science China(Information Sciences)2012，55，2： | 5 |
| 9 | A coordinate-transform based FFBP algorithm for high-resolution spotlight SAR imaging显示文摘This paper proposes a coordinate-transform(CT) implementation for the fast factorized backprojection(FFBP) algorithm(CT-FFBP) to process high-resolution spotlight synthetic aperture radar(SAR)data. Unlike the FFBP utilizing two-dimensional image-domain interpolation for sub-aperture fusion, CT-FFBP finishes the image-projection using CT with the accommodation of chirp-z transform and circular shifting. Without interpolation, CT-FFBP yields enhanced efficiency over the interpolation based FFBP, besides maintaining high precision simultaneously. Both simulation and real-data experiments verifies the efficiency and precision superiorities of the CT-FFBP. | YANG ZeMin XING MengDao ZHANG Lei BAO Zheng | 2015 | Science China(Information Sciences)2015，58，2： | 4 |
| 10 | Performance improvement in multi-ship imaging for ScanSAR based on sparse representation显示文摘There is always a compromise between unambiguous wide-swath imaging and high cross-range resolution owing to the constraint of minimum antenna area for conventional single-channel spaceborne synthetic aperture radar(SAR)imaging.To overcome the inherent systemic limitation,multi-channel SAR imaging has been developed.Nevertheless,this still suffers from various problems such as high system complexity.To simplify the system structure,a novel algorithm for high resolution multi-ship ScanSAR imaging based on sparse representation is proposed in this paper,where the SAR imaging model is established via maximum a posterior estimation by utilizing the sparsity prior of multi-ship targets.In the scheme,a wide swath is generated in the ScanSAR mode by continuously switching the radar footprint between subswaths.Meanwhile,high crossrange resolution is realized from sparse subapertures by exploiting the sparsity feature of multi-ship imaging.In particular,the SAR observation operator is constructed approximately as the inverse of conventional SAR imaging and then high resolution SAR imaging including range cell migration compensation is achieved by solving the optimization.Compared with multi-channel SAR imaging,the system complexity is effectively reduced in the ScanSAR mode.In addition,enhancement of the cross-range resolution is realized by incorporating the sparsity prior with sparse subapertures.As a result,the amount of data is effectively reduced.Experiments based on measured data have been carried out to confirm the effectiveness and validity of the proposed algorithm. | XU Gang SHENG JiaLian ZHANG Lei XING MengDao | 2012 | Science China(Information Sciences)2012，55，8： | 4 |
| 11 | Doppler Ambiguity Resolving in Distributed Micosatellites Radar Imaging显示文摘 | XING Mengdao LI Zhengfang BAO Zheng LIAO Guisheng | 2005 | Chinese Journal of Electronics2005，14，4： | 2 |
| 12 | Coherent processing for ISAR imaging with sparse apertures显示文摘To implement target detection,tracking and imaging in a multifunctional radar system,the wideband measurements for inverse synthetic aperture radar(ISAR)imaging are usually sparsely recorded.Considering the incoherence problem in such sparse-aperture ISAR(SA-ISAR)systems,we concentrate on the study of a coherent processing method in this work.Based on an all-pole model,the incoherence parameters between abutting sub-apertures can be effectively estimated.After coherence compensation,an optimization-based SAISAR imaging approach is provided from the view of statistics.Simulation and real data experiments validate the feasibility and effectiveness of the proposals. | SHENG JiaLian ZHANG Lei XU Gang XING MengDao BAO Zheng | 2012 | Science China(Information Sciences)2012，55，8： | 2 |
| 13 | Property analysis of bistatic forward-looking SAR with arbitrary geometry显示文摘Bistatic forward-looking synthetic aperture radar(SAR) has many advantages and applications owing to its twodimensional imaging capability.There could be various imaging configurations because of the geometric flexibility of bistatic platforms,resulting in kinds of models built independently among which there could be some similar even the same motion features.Comprehensive research on such systems in a more comprehensive and general point of view is required to address their difference and consistency.Property analysis of bistatic forwardlooking SAR with arbitrary geometry is achieved including stripmap and spotlight modes on airborne platform,missile-borne platform,and hybrid platform of both.Emphasis is placed on azimuth space variance of some key parameters significantly affecting the subsequent imaging processing,based on which the frequency spectra are further described and compared considering respective features of different platforms for frequency imaging algorithm developing.Simulation results confirm the effectiveness and correctness of our analysis. | Ziqiang Meng Yachao Li Mengdao Xing Zheng Bao | 2016 | Journal of Systems Engineering and Electronics2016，27，1： | 2 |
| 14 | Achieving Higher Resolution ISAR Imaging with Limited Pulses Via Compressed Sampling 显示文摘 | Zhang Lei Xing Mengdao Qiu Chenwei | 2009 | IEEE GRS Letter2009，6，3： | 1 |
| 15 | High Resolution Three-dimensional Radar Imaging for Rapidly Spinning Targets显示文摘 | Wang Qi Xing Mengdao Lu Guangyue | 2008 | IEEE Trans on GRS2008，46，1： | 1 |
| 16 | New Parameter Estimation and Detection Algorithm for High Speed Small Target 显示文摘 | Xing Mengdao Su Junhai Wang Genyuan | 2011 | IEEE Trans on Aerospace and Electronic Systems2011，47，1： | 1 |
| 17 | High-resolution ISAR Imaging by Exploiting Sparse Apertures显示文摘 | Zhang Lei Qiao Zhijun Xing Mengdao | 2012 | IEEE Transactions on Antennas and Propagation2012，60，2： | 1 |
| 18 | Logarithm bispectrumbased approach to radar range profile for automatic target recognition显示文摘 | Pei Bingnan Bao Zheng Xing Mengdao | 2003 | Pattern Recognition2003，35，： | 1 |
| 19 | Motion Compensation for UAV SAR Based on Raw Radar Data显示文摘 | Xing Mengdao Jiang Xiuwei Wu Renbiao | 2009 | IEEE Trans on Geoscience and Remote Sensing2009，47，8： | 1 |
| 20 | Migration Through Resolution Cell Compensation in ISAR Imaging显示文摘 | Xing Mengdao Wu Renbiao Lan Jinqiao | 2004 | IEEE Geosci Remote Sens Lett2004，1，2： | 1 |
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