南京航空航天大学电子信息工程学院教授。中国宇航学会电磁信息专业委员会委员、中国遥感应用协会智慧城市遥感应用专业委员会常务委员、中国电子学会高级会员、中国航空学会会员、IEEE会员、《系统工程与电子技术》编委、《雷达学报》第一二届编委。从事雷达信号处理、新体制雷达系统、SAR图像目标检测与识别等研究。主持国家自然基金、航空基金、江苏省自然基金、国防预研重点基金等十余项，参与国防973、863计划、国防基础科研、航空产学研、国防预研等项目数十项，获国家科技进步二等奖1项、国防科学技术奖三等奖1项、中国智能交通协会科技二等三等奖各1项。发表论文100余篇，申请获授权多项专利，参编专著2部。

Since 1998, he has been with the CollegeofElectronicand Information Engineering at NUAA, where he is currently a Professor. Prof. Zhang’s research interests mainly focus on radar signal processing, Array signal processing, new system radar, SAR image target detection and recognition. Prof. Zhang is a member of Committee of Electromagnetic Information, Chinese Society of Astronautics(CEI-CSA), a member of editorial board for Journal of Radar, China and a Senior Member of the Chinese Institute of Electronics.  Prof. Zhang presided over the National Natural Science Foundation of China, Aviation Science Fund of China, Natural Science Foundation of Jiangsu Province of China, SRF for ROCS/ SEM, 863 Program, The National Defense Key Fund. He has won the national defense science and Technology Award three (1/8) in 2010. He has published more than 80 research papers, including a number of papers in IEEE Transactions.

研究方向：

学科研究方向一：通信与信息系统

1.雷达信号处理 Radar Signal Processing

2.目标探测与识别  Target detection and recognition

3.图像处理与分析  Image Processing and Analysis

学科研究方向二：信号与信息处理

1.雷达信号处理 Radar Signal Processing

2.目标探测与识别  Target detection and recognition

3.图像处理与分析  Image Processing and Analysis

学科研究方向三：探测与成像

1.雷达信号处理 Radar Signal Processing

2.目标探测与识别  Target detection and recognition

3.图像处理与分析  Image Processing and Analysis

发表学术论文,出版专著情况：

期刊论文：

2021-2022年发表论文

  [J1] 刘文波,姚翼荣,张弓,胡文，超维计算概念、应用及研究进展[J].系统工程与电子技术,https://kns.cnki.net/kcms/detail/11.2422.TN.20220808.1638.004.html，2022.8网络首发中文综述

[J2]    Y. Zhang, Y. Wang, Z. Tian, G. Leus and G. Zhang, "Efficient Angle Estimation for MIMO Systems via Redundancy Reduction Representation," in IEEE Signal Processing Letters, vol. 29, pp. 1052-1056, 2022, doi: 10.1109/LSP.2022.3164850.

[J3]    B. Xue, G. Zhang, H. Leung and L. Wang, "An Applied Frequency Scaling Algorithm Based on Local Stretch Factor for Near-Field Miniature Millimeter-Wave Radar Imaging," in IEEE Transactions on Microwave Theory and Techniques, doi: 10.1109/TMTT.2022.3151009.

[J4]    Y. Zhang, Y. Wang, Z. Tian, G. Leus and G. Zhang, "Efficient Super-Resolution Two-Dimensional Harmonic Retrieval With Multiple Measurement Vectors," in IEEE Transactions on Signal Processing, vol. 70, pp. 1224-1240, 2022, doi: 10.1109/TSP.2022.3150964.

[J5]    J. Yuan, G. Zhang, Y. Zhang and H. Leung, "A Gridless Fourth-Order Cumulant-Based DOA Estimation Method Under Unknown Colored Noise," in IEEE Wireless Communications Letters, vol. 11, no. 5, pp. 1037-1041, May 2022, doi: 10.1109/LWC.2022.3153927.

[J6]    Y. Mao, G. Zhang, C. Qi, X. Yang and W. Xiong, "FOC-Based Gridless Harmonic Retrieval Joint MM-Estimation: DOA Estimation for FMCW Radar Against Unknown Colored Clutter-Noise," in IEEE Sensors Journal, vol. 22, no. 6, pp. 5879-5888, 15 March15, 2022, doi: 10.1109/JSEN.2022.3148984.

[J7]    B. Xue, G. Zhang, H. Leung, Q. Dai and Z. Fang, "An Applied Ambiguity Function Based on Dechirp for MIMO Radar Signal Analysis," in IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022.

[J8]    Z. Fang, G. Zhang, Q. Dai, Y. Kong and P. Wang, "Semisupervised Deep Convolutional Neural Networks Using Pseudo Labels for PolSAR Image Classification," in IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022.

[J9]    Hailong Z ,Gong Z ,Biao X , et al.Mainlobe jamming suppression via improved BSS method for rotated array radar[J].Journal of Systems Engineering and Electronics,2022,33(06):1151-1158.

[J10]Zheng Fang, Gong Zhang, Qijun Dai, Biao Xue & Peng Wang (2022) A hybrid network for PolSAR image classification based on polarization orientation angles, Remote Sensing Letters, 13:4, 383-393, DOI: 10.1080/2150704X.2022.2033344.

[J11]    Y. Yao, W. Liu, G. Zhang and W. Hu, "Radar-Based Human Activity Recognition Using Hyperdimensional Computing," in IEEE Transactions on Microwave Theory and Techniques, vol. 70, no. 3, pp. 1605-1619, March 2022, doi: 10.1109/TMTT.2021.3134992.

[J12]  Y. Mao, G. Zhang and H. Leung, "Harmonic Retrieval Joint Multiple Regression: Robust DOA Estimation for FMCW Radar in the Presence of Unknown Spatially Colored Noise," in IEEE Communications Letters, vol. 25, no. 7, pp. 2240-2244, July 2021.

[J13]  B. Wu, G. Zhang, Y. Sun and H. Leung, "Component Interpretation for SAR Target Images Based on Deep Generative Model," in IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 12, pp. 2112-2116, Dec. 2021.

[J14]  K. Wang, G. Zhang, Y. Xu and H. Leung, "SAR Target Recognition Based on Probabilistic Meta-Learning," in IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 4, pp. 682-686, April 2021.

2020年发表论文

[J1] K. Wang, G. Zhang, "SAR Target Recognition via Meta-Learning and Amortized Variational Inference", Sensors, vol.20, no.20, pp.5966, 2020.

[J2] Y. Mao, G. Zhang, "A DOA Estimation Algorithm Based on DFT And Multiple Regression", IET Communications, 2020(Accepted)

[J3] Zheng Fang, Gong Zhang, Qijun Dai, Yingying Kong, Peng Wang; "Semisupervised Deep Convolutional Neural Networks Using Pseudo Labels for PolSAR Image Classification", IEEE Geoscience and Remote Sensing Letters, DOI: 10.1109/LGRS.2020.3036387

[J4] J. Yuan, G. Zhang, W. Liu and X. Wang, "Off-grid sparse DOA estimation based iterative reweighted linear interpolation in spatial coloured noise", Electronics Letters, vol. 56, no. 11, pp. 573-575, 28 5 2020.

[J5] J. Yuan, G. Zhang, W. Liu, X. Wang and C. Qi, "Real-valued Gridless DOA Estimation in Massive ULA using a Single Snapshot", Electronics Letters, 2020(Accepted).

[J6] Wu, B., Zhang, G., Sun, Y, et.al. "Component Interpretation for SAR Target Images Based on Deep Generative Model", IEEE Geoscience and Remote Sensing Letters. 2020, pp. 1-5, doi: 10.1109/LGRS.2020.3013026

[J7] Changyun Qi, Gong Zhang, Su Liu, Jiawen Yuan; "Gridless DOA Estimation for Minimum-Redundancy Linear Array in Nonuniform Noise", Mathematical Problems in Engineering, 2020, https://doi.org/10.1155/2020/1580391.

[C1] Wang, Yue, Yu Zhang, Zhi Tian, Geert Leus, and Gong Zhang. "Efficient Super-Resolution Two-Dimensional Harmonic Retrieval Via Enhanced Low-Rank Structured Covariance Reconstruction." In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, pp. 5720-5724. (EI)

[C2] Zhang, Yu, Yue Wang, Zhi Tian, Geert Leus, and Gong Zhang. "Low-Complexity Gridless 2D Harmonic Retrieval via Decoupled-ANM Covariance Reconstruction." In 28th European Signal Processing Conference (EUSIPCO 2020), Amsterdam, The Netherlands, Jan. 18-22, 2021. (EI)

[C3] Wu, B., Zhang, G., Sun, Y. Research on Interpretability of SAR Image Component Recognition Based on Residual Attention Mechanism. In International Conference on Electronic Information Technology and Computer Engineering (EITCE 2020), Nov. 6-8, Xiamen, China. (EI)

[C4] Sun, Y, Zhang, G., Wu, B.. Wu, B., “Spatial Depth Information Acquisition of Monocular Video Object in Traffic Monitoring Scene,” In International Conference on Electronic Information Technology and Computer Engineering (EITCE 2020), Nov. 6-8, Xiamen, China. (EI)

[C5] Qinyi Xu, Gong Zhang, and Wei Xiong. "Image-based Transmission Line Detection on Finite Element Line Segments." In 2020 4th International Conference on Electronic Information Technology and Computer Engineering, November 6--8, 2020, Xiamen, China (EI)

[C6] Changyun Qi, Gong Zhang and Jiawen Yuan.” Gridless Direction-of-Arrival Estimation based on Matrix Rank Minimization in Nonuniform Noise.” IET International Radar Conference 2020, Chongqing, China 2020. (EI)

[C7] Xueling Yang, Gong Zhang, Liu Su and Guan Zhiqiang. "Aircraft Target Recognition Based on Micro-Doppler Effect And Convolution Neural Networks." IET International Radar Conference 2020, Chongqing, China 2020. (EI).

2017-2019年发表论文

  [J1] K. Wang, G. Zhang, H. Leung, SAR Target Recognition Based on Cross-Domain and Cross Task Transfer Learning, IEEE Access, Vol.7: 153391- 153399,October, 2019

 [J2] Meihong Pan, Gong Zhang, Zhentao Hu, Qin Zheng. Real-Valued Off-grid DOA Estimation via Iterative Optimization Based on Covariance Differencing Method with Spatial Colored Noise[J]. IET radar sonar & navigation, 2019, 13(7):1116 – 1122.

 [J3] Meihong Pan, Gong Zhang, Zhentao Hu, Qin Zheng. Real-valued off-grid DOA estimation based on fourth-order cumulants using sparse Bayesian learning in spatial coloured noise [J]. IET Communications, Vol13.19, 3344-2249, 2019. (DOI:  10.1049/iet-com.2018.6244)

 [J4] Meihong Pan, Gong Zhang. Gridless DOA estimation based on multivariate function genetic optimisation [C]. IET Journals. (DOI: 10.1049/joe.2019.0378)

  [J5] L. Wenbo, Y. Jiawen, Z. Gong and S. Qian, "HRRP target recognition based on kernel joint discriminant analysis," in Journal of Systems Engineering and Electronics, vol. 30, no. 4, pp. 703-708, Aug. 2019.

[J6] K. Wang, G. Zhang, Y. Leng, and H. Leung, "Synthetic Aperture Radar Image Generation With Deep Generative Models" IEEE Geosci. Remote Sens. Lett., vol. 16, no. 6, pp. 912–916, Jun. 2019.

[J7]  X. Wang, G. Zhang, Y. Zhang, Q. Wang and H. Leung, "Design of spectrally compatible waveform with constant modulus for colocated multiple-input multiple-output radar," in IET Radar, Sonar & Navigation, vol. 13, no. 8, pp. 1373-1388, 8 2019.doi: 10.1049/iet-rsn.2019.0009

[J8] Yue Wang, Yu Zhang, Zhi Tian, Geert Leus Gong Zhang, “Super-Resolution Channel Estimation for Arbitrary Arrays in Hybrid Millimeter-Wave Massive MIMO Systems,” IEEE Journal of Selected Topics in Signal Processing, vol. 13, no. 5, pp. 947–960, Sep. 2019.

[J9] Liu S, Zhang G, Liu W. Group Sparse Representation Based Dictionary Learning for SAR Image Despeckling[J]. IEEE Access, 2019, 7: 30809-30817.

[J10] W. Xiong, M. Greco, F. Gini, G. Zhang and Z. Peng, "SFMM design in colocated CS-MIMO radar for jamming and interference joint suppression," in IET Radar, Sonar & Navigation, vol. 12, no. 7, pp. 702-710, 7 2018. doi: 10.1049/iet-rsn.2017.0444

[J11] Zhang Y , Zhang G , Wang X . Computationally efficient DOA estimation for monostatic MIMO radar based on covariance matrix reconstruction[J]. Electronics Letters, 2017, 53(2):111-113.

[J12] Liu S, Zhang G, Soon Y T. An Over-Complete Dictionary Design Based on GSR for SAR Image Despeckling[J]. IEEE Geoscience and Remote Sensing Letters, 2017. (SCI，JCR2区);

[J13] Wang X , Zhang G , Wen F , et al. Angle estimation for bistatic MIMO radar with unknown mutual coupling based on three-way compressive sensing[J]. Journal of Systems Engineering and Electronics, 2017, 28(2):257-266.

[J14] Wang X , Zhang G , Wen F , et al. Schemes for synthesizing high-resolution range profile with extended OFDM-MIMO[J]. Journal of Systems Engineering & Electronics, 2017, 28(3):424-434.

[J15] Dai W , Zhang G , Zhang Y . HRRP classification based on multi-scale fusion sparsity preserving projections[J]. Electronics Letters, 2017, 53(11):748-750.

[J16] 戴为龙, 张弓, 刘文波, et al. 基于自适应类别权重的HRRP决策融合识别[J]. 现代雷达, 2017(7).

[J17] 曹哲, 张弓, 戴为龙. 结合二次Otsu和SIFT的光学和SAR水域图像快速配准[J]. 计算机辅助设计与图形学学报, 2017(11).

[J18] Xiong W , Zhang G , Liu W . Efficient filter design against interrupted sampling repeater jamming for wideband radar[J]. EURASIP Journal on Advances in Signal Processing, 2017, 2017(1):9.

[J19] 冯俊杰，张弓，多测量向量块稀疏信号重构ISAR成像算法，系统工程与电子技术，2017，39(9)，1959-1964

[C1]Meihong Pan, Gong Zhang, Zhentao Hu. Covariance Difference Matrix-based Sparse Bayesian learning for Off-grid DOA Estimation with Colored Noise[C]. The International Microwave Biomedical Conference. May. 2019, Nanjing, China.

[C2] Y. Xu, G. Zhang, K. Wang and H. Leung, "SAR Target Recognition Based On Variational Autoencoder," 2019 IEEE MTT-S International Microwave Biomedical Conference (IMBioC), Nanjing, China, 2019, pp. 1-4.

[C3]  K. Wang, G. Zhang, Depression Angle Invariant SAR Target Recognition via Feature Transform， 2019 IEEE 4th International Conference on Signal and Image Processing (ICSIP). 19th to 21st July 2019,Wuxi, China

[C4]  Wang Xinhai, Zhang Gong and Henry Leung, " Moving target detection with single frequency-stepped burst using fast FRFT," IEEE MTT-S 2019 International Microwave Biomedical Conference (IMBioC 2019), IEEE, 2019. (EI)

[C5]  ZHANG. Yuying, ZHANG. Gong, H. Leung. “Gridless sparse methods based on fourth-order cumulant for DOA estimation,” IEEE Geoscience and Remote Sensing Symposium, 2019.

[C6] Z. Yuying, Z. Gong, H. Leung. “Atomic norm minimization methods for continuous DOA estimation in colored noise,” IEEE International Conference on Signal Processing, Communications and Computing, 2019.(录用)

[C7] Yu Zhang, Gong Zhang, Yingying Kong, Fangqing Wen, “Gridless Sparsity-based DOA Estimation for Sparse Linear Array,” IET Radar Conference, Nanjing, China, Oct. 2018.

[C8] Yu Zhang, Yue Wang, Zhi Tian, Geert Leus Gong Zhang, “Super-resolution Spatial Channel Covariance Estimation for Hybrid Precoding in Mm-Wave Massive MIMO,” IEEE Global Communications Conference, Waikoloa, HI, USA, Dec. 2019.

[C9] Yue Wang, Yu Zhang, Zhi Tian, Geert Leus Gong Zhang, “Angle-based Channel Estimation with Arbitrary Arrays,” IEEE Global Communications Conference, Waikoloa, HI, USA, Dec. 2019.

[C10] Tingbao Tao, Gong Zhang, Henry Leung. An Optimal Algorithm of Time Resource for Multi-Target Tracking under Active Oppressive Jamming. IEEE International Conference on Signal Processing, Communication and Computing[C].Dalian, 2019

[C11] Chen Ning, Wenbo Liu, Gong Zhang, Xin Wang, "SAR Target Recognition via Enhanced Kernel Sparse Representation of Monogenic Signal", The 2nd International Conference on 5G for Ubiquitous Connectivity, 5GU 2018.

[C12] Chen Ning, Wenbo Liu, Gong Zhang, Xin Wang, "Kernel Joint Sparse Representation Based SAR Automatic Target Recognition", 4th IEEE International Conference on Image, Vision and Computing, ICIVC 2019.

[C13] W. Xiong, G. Zhang and Z. Peng, "Joint 2-D angle and Doppler frequency estimation for bistatic co-prime MIMO radar," 2018 IEEE Radar Conference (RadarConf18), Oklahoma City, OK, 2018, pp. 0618-0623. doi: 10.1109/RADAR.2018.8378630

[C14]     W. Xiong, M. Greco, F. Gini, G. Zhang and Z. Peng, "Toeplitz Matrix-Based Transmit Covariance Matrix of Colocated Mimo Radar Waveforms for Sinr Maximization," 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, AB, 2018, pp. 3295-3299.

2015-2016年发表论文

[J1] Yu Tao, Gong Zhang, Mixed pulse accumulation for compressive sensing radar, IEEE Signal Process. Lett., vol. 23, no. 12, pp. 1761-1765, Dec. 2016.

[J2] Yu Tao, Gong Zhang and Yu Zhang, Spatial filter measurement matrix design for interference/jamming suppression in collocated compressive sensing MIMO radars, Electron. Lett., vol. 52, no. 11, pp. 956-958, May 2016.

[J3] Wei Xiong, Gong Zhang, Fangqing Wen, Yu Zhang and Jiejun Yin, Trilinear decomposition-based spatial-polarisational filter method for deception jamming suppression of radar, IET Radar Sonar Navig., vol.10, no. 4, pp. 765-773, Mar. 2016

[J4] Wei Xiong, Gong Zhang, Su Liu and Jiejun Yin, Multiscale kernel sparse coding-based classifier for HRRP radar target recognition, IET Radar Sonar Navig., vol. 10, no. 9, pp. 1594-1602, Apr. 2016

[J5] Chen Ning, Wenbo Liu, Gong Zhang, Jiejun Yin and Xiuxia Ji, Enhanced synthetic aperture radar automatic target recognition method based on novel features, Applied Optics, vol.55, no. 31, pp. 8893-8904, Oct. 2016

[J6] Junjie Feng and Gong Zhang, ISAR imaging based on iterative reweighted Lp block sparse reconstruction algorithm, Progress in Electromagnetics Research M, vol. 48, pp. 155-162, 2016

[J7] 彭珍妮，贲德，张弓，徐笛.基于稀疏随机阵列配置的CS-MIMO雷达感知矩阵构造[J]. 航空学报, 2016, 37(3), 1015-1024

[J8] 张弓,文方青,陶宇等. 模拟-信息转换器研究进展[J].系统工程与电子技术, 2015, 37(2): 229-238（EI：20150900580213）

[J9] 贲德，张弓，谭晓阳，刘彦东，黄志球，信号、数据和信息的历史及展望——纪念《数据采集与处理》创刊30周年，数据采集与处理，2015(2):239-243。

[J10] Yu Tao, Gong Zhang and Jingdong Zhang, Guaranteed Stability of Sparse Recovery in Distributed Compressive Sensing MIMO Radar [J]. International  Journal of Antennas and Propagation. 2015, 421740, (SCI:000348367100001, EI:20150400438394).

[J11] Fangqing Wen, Yu Tao and Gong Zhang. Analogue-to-information conversion using multi-comparator-based integrate-and-fire sampler [J]. Electronics Letters. 2015, 51(3): 246-247.（SCI：000349385800030，EI：20150700513282）

[J12] 文方青,张弓,贲德.基于块稀疏贝叶斯学习的多任务压缩感知重构算法[J]. 物理学报，2015, 64(7):070201（SCI：000354058800001，EI：20151600746668

[J13] 文方青,张弓,陶宇等. 面向低信噪比的自适应压缩感知方法[J]. 物理学报, 2015, 64(8): 084301（SCI：000354059200027，EI：20151800797478）

[J14] Fangqing Wen, Gong Zhang and De　Ben. Direction-of-Arrival Estimation for Multiple-Input Multiple-Output Radar Using Structural Sparsity Bayesian Learning [J]. Chinese Physics B, 2015, 24(11): 110201(SCI，EI)

[J15] Fangqing Wen, Gong Zhang and DeBen. Adaptive Selective Compressive Sensing based Signal Acquisition Oriented toward Strong Signal Noise Scene [J]. KSII Transactions on Internet and Information Systems, 2015, 9(9): 3559-3571(SCI，EI:20154101349813)

[J16] Fangqing Wen, Yu Zhang and Gong Zhang, Adaptive Selective Compressive Sampling for Sparse Signal Acquisition in a Noisy Background [J].Electronics Letters. 2015, 51(20):1704-1706.

[J17] Fangqing Wen, Gong Zhang, Multi-Way Compressive Sensing based 2D DOA Estimation Algorithm for Monostatic MIMO Radar with Arbitrary Arrays [J]. Wireless Personal Communications, 2015:1-14(SCI, EI:20153001066864)

[J18] Fangqing Wen, Gong Zhang and De Ben. Estimation of multipath parameters in wireless communications using multi-way compressive sensing [J].Journal of Systems Engineering and Electronics, 2015, 26(5):908-915.（SCI，EI, ）

[C1] Junjie Feng and Gong Zhang,“Three dimensional ISAR imaging based on multi-dimensional sparse signal recovery algorithm,” in Proc. PIERS, Shanghai, China, Aug. 2016, pp. 5144-5146

[C2] Daren Li, Gong Zhang and Yu Tao, “Joint sparse modeling for multi-pulse distributed MIMO radar,”in Proc. CIE Radar conf., Guangzhou, China, Oct. 2016, pp. 156-159

[C3] Yu Tao, Gong Zhang and Daren Li, “Coprime sampling with deterministic digital filters in compressive sensing radar,” in Proc. CIE Radar conf., Guangzhou, China, Oct. 2016, pp. 458-460

[C4] Xinhai Wang, Gong Zhang and Daren Li, “High-resolution range profile synthesis based on a new radar waveform,”in Proc. CIE Radar conf., Guangzhou, China, Oct. 2016, pp. 2317-2321

[C5] Wei Xiong, Xinhai Wang and Gong Zhang, “Cognitive waveform design for anti-velocity deception jamming with adaptive initial phases,” in Proc. IEEE Radar conf., Philadelphia, PA, USA, May 2016, pp. 1255-1259

[C6] Di Xu, Gong Zhang and Zhenni Peng, “Optimization design of CS-MIMO radar sparse random array,”in Proc. CIE Radar conf., Guangzhou, China, Oct. 2016, pp. 105-108

[C7] Jiejun Yin, Gong Zhang, Su Liu and Xiuxia Ji, “Target recognition with information entropy based multi-task sparse representation in SAR imagery,”in Proc. CIE Radar conf., Guangzhou, China, Oct. 2016, pp. 1960-1963

[C8] Su Liu and Gong Zhang, “Euler 2D-PCAfor SAR target recognition,” in Proc. ICSPCC, Hong Kong, China, Aug. 2016, pp. 244-249

[C9] Fangqing Wen, Yu Zhang and Gong Zhang, Adaptive Measurement Matrix Design Oriented Toward Low Signal-to-Noise Ratio Scene [C]. 7th International Conference on Wireless Communications and Signal Processing (WCSP 2015)

科研成果获奖及专利：

2022年获湖北省科技奖自然科学三等奖：非理想背景下阵列雷达参数估计理论与方法，排名第2，

2021年获中国智能交通协会科学技术二等奖：微波视频一体化交通智能感知终端研发及产业化应用，排名第2，

2020年获中国智能交通协会科学技术三等奖：基于可视化雷达精准检测突发事件快速反应关键技术与应用，排名第3， 

2019年获国家科技进步二等奖：机载雷达高分辨率成像和高精度地面运动目标检测技术，排名第6，

2010年获国防科技进步奖：典型背景目标SAR图像模型建立与目标特性分析研究，排名第1；

专利：

[P1]戴为龙;刘文波;张弓;华博宇；一种基于类别置信度的一维距离像多分类器融合识别法，­CN106951915B，2020.02.21(授权）

[P2]戴为龙;张弓;刘文波;陆晓明;一种基于自适应稀疏保持投影的一维距离像识别方法，­CN107085206B，2020.02.28(授权）

[P3]戴为龙;刘文波;张弓；基于多尺度核稀疏保持投影的一维距离像识别方法 CN106908774B,2020.01.10(授权）

[P6] 王启霞, 张弓, 胡文; 车载MIMO雷达求熵解速度模糊的方法, CN202010087550.7, 20200214 (授权).

[P7] 王启霞, 张弓, 胡文; 基于二范数解决毫米波MIMO雷达目标分裂的方法, CN202010092421.7, 20200213(公开).

[P8] 张弓, 王启霞; 一种MIMO雷达系统, CN201921461301.9, 20190904 (2020.6授权)；

[P9] 吴彬倩, 张弓,贺广均; 一种基于VGG-Attention模型的SAR图像部件解译方法, CN202010978115.3, 20201204(公开).

[P10] 许沁怡, 张弓; 基于线基元几何空间关系连接的电力线检测方法, 202010673595.2, 20201127(公开).

[P11] 孙煜华, 张弓, 吴彬倩; 一种基于互相关系数的摄像机与雷达目标匹配方法, 202011370922.3(公开)

[P12]张弓、胡文、万敏雪、雷磊等，基于无人机平台分布式*****系统，国防专利，20151*******.2

[P13]张弓，张伟,基于非抽样Contourlet变换的SAR图像目标方位角估计方法,国家发明专利：200810023255.4.

[P14]张弓，刘帅，基于遗传算法的MIMO雷达阵列误差自校正方法，发明专利：200910264135.8

[P15]赵昊，张弓，一种基于曲波域双边二维主成分分析的SAR图像目标识别方法。发明专利：201210162703.5

[P16]文方青，黄冬梅，张弓等.一种处理线性调频信号的方法及系统. 发明专利：201510257780.2。

承担的科研项目情况：

科研项目：

2023年-2026年，主持国家自然科学基金面上项目（62271255）微波多视角MIMO雷达超分辨率关联成像；

2019年-2022年，主持国家自然科学基金面上项目（61871218）复杂环境下基于变换协方差矩阵的无网格稀疏DOA估计；

2019年-2021年，主持国家重点实验室开放基金项目：基于深度生成模型的SAR小样本识别技术；

2015年-2018年，主持国家自然科学基金面上项目（61471191）低信噪比压缩感知雷达阵列的空时压缩积累观测矩阵设计;

2011年-2013年，主持国家自然科学基金面上项目资助项目（61071163）：分布式压缩感知MIMO雷达目标联合稀疏表示和重构研究；

2011年-2013年，主持航空科学基金项目：基于稀疏表示的SAR图像目标识别（2011ZC52034）；

2008年-2010年，主持航空科学基金项目：基于编队机群MIMO雷达关键技术研究（2008ZC52026）；

2011年-2013年，做为子课题负责人，参与航空产学研项目：机载SAR/红外图像信息获取与融合及基于融合信息的多目标检测、识别与跟踪技术研究；

2015年-2017年，参与航空科学基金项目：基于HRRP机载雷达海面目标识别技术研究（20152051026）；

2009年-2011年, 主持教育部留学回国人员科研启动基金,方向滤波器组在SAR图像目标检测中的应用研究;

2006年-2008年，主持总装预研重点基金项目：典型背景目标SAR****分析研究。该项目2010年获国防科学技术三等奖；

2008年-2009年，主持国防预研课题（与中电集团28研究所合作）：SAR图像****系统；

2008年-2009年，承担了总装预研项目（与中航一集团607研究所合作）：合成孔径雷达地面目标检测技术研究；

2004年-2006年，主持航空科学基金项目：基于杂波跟踪融合的CFAR研究；

2004年-2006年，承担了某国防预研项目（与中航一集团第607所合作）项目：机载PD雷达****；

2002年-2004年，承担了863-701（与中国电子科技集团第38所合作）项目：基于编队卫星****；

2002年-2004年，主持江苏省自然科学基金项目:合成孔径雷达(SAR)图像定量评估研究。

指导研究生情况：

指导博士在读10名，硕士10名。毕业博士8名，硕士60余名。

备注：

欢迎考生报考！Just join our harmonious and innovative group!