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姓名：陈勇
职称：副教授
研究领域：阵列信号处理
个人简介：2006年硕士毕业于西北工业大学信号与信息处理专业，2018年博士毕业于国防科技大学信息与通信工程专业。2006年至2008年就职于深圳中兴通讯股份有限公司，主要从事CDMA基站基带及射频模块的嵌入式软件开发工作。2008年9月至今任教于江西师范大学物理与通信电子学院、微电子学院，目前主要从事阵列信号处理、水下声源定位方面的研究。主持完成国家自然科学基金项目1项、江西省自然科学基金面上项目1项、江西省教育厅项目1项，参与完成国防科技大学重大基础研究项目1项、国家安全重大基础研究973项目1项，参与完成江西省高等学校教学改革研究课题重点项目1项，发表学术论文20余篇，主编教材2部。参与的水声信息传输技术研究相关成果获得2007年度国防科技进步一等奖和二等奖，授权国家发明专利6项。
联系方式：
电子邮箱：yongchen@jxnu.edu.cn
办公地址：实验大楼中219室
教育背景：
博士，通信与信息工程，国防科技大学电子科学学院，2018.6
硕士，信号与信息处理，西北工业大学航海学院，2006.4
学士，电子信息工程，西北工业大学航海学院，2003.6
工作经历：
2008-至今：教师，江西师范大学物理与通信电子学院、江西师范大学微电子学院
2006 –2008：工程师，中兴通讯有限公司
科研项目：
(1) 不确定性海洋环境远程水下广义秩目标感知关键技术研究，江西省自然科学基金项，2017-01-01到2019-12-31，主持
(2) 海洋不确定环境远程目标感知关键技术研究，江西省教育厅科学技术研究项目，2017-01-01到2018-12-31，主持
(3) 水下不确定性环境中广义秩信源凸优化稳健波束形成与方位估计研究，国家自然科学基金青年科学基金，2017-01-01到2019-12-31，主持
(4) 应变诱导埋嵌型纳米颗粒结构相变及其相关性能的研究，国家自然科学基金地区科学基金，2015-01-01到2018-12-31，参与
(5) 全光纤量子保密通信关联光子对产生实验研究，国家自然科学基金地区科学基金，2014-01-01到2017-12-31，参与
学术成果：
一、主要论文
[1] F. Wang and Y. Chen, “A Spatio-Temporal Transposition Framework for DOA Estimation under Large-Aperture Arrays and Limited Snapshots,” Signal Processing, p. 110736, May 2026.
[2] Y. Chen and F. Wang, “Multi-layer residual beamforming for underwater acoustic source bearing estimation,” JASA Express Letters, vol. 6, no. 4, p. 046001, Apr. 2026.
[3] Y. Fan, H. Chen, and Y. Chen, “One-dimensional DOA estimation method based on the improved weighted L1-SVD,” in 2025 5th International Conference on Electronics, Circuits and Information Engineering (ECIE), Guangzhou, China: IEEE, May 2025, pp. 887–890.
[4] H. Yi, Y. Chen, and J. Huang, “Aerial Acoustic Targeting Orientation Estimation Based on Deconvolved Conventional Beamforming,” in 2023 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), ZHENGZHOU, China: IEEE, Nov. 2023, pp. 1–4.
[5] H. He, Y. Chen, and X. Luo, “Harmonic frequency and direction joint estimation for airborne acoustic target localization,” in Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), K. Subramaniam and P. Loskot, Eds., Kuala Lumpur, Malaysia: SPIE, Oct. 2023, p. 48.
[6] F. Wang, Y. Chen, and J. Wan, “Underwater Acoustic Single-Tone Signal Detection Based on Spectral Trend Term Fitting,” in 2019 IEEE 9th International Conference on Electronics Information and Emergency Communication (ICEIEC), Beijing, China: IEEE, Jul. 2019, pp. 487–490.
[7] F. Wang, Y. Chen, and J. Wan, “In-Depth Exploration of Signal Self-Cancellation Phenomenon to Achieve DOA Estimation of Underwater Acoustic Sources,” Applied Sciences, vol. 9, no. 3, p. 570, Feb. 2019.
[8] Y. Chen and F. Wang, “Array Manifold Error Correction Using Information of Opportunity Sources in Shallow Sea,” in 2019 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Dalian, China: IEEE, Sep. 2019, pp. 1–5.
[9] Y. Chen and F. Wang, “Robust Adaptive Beamforming Based on Non-convex Quadratic Optimization with Semidefinite Relaxation,” in 2018 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Qingdao: IEEE, Sep. 2018, pp. 1–5.
[10] Z. Lian, K. Xu, J. Wan, G. Li, and Y. Chen, “Underwater acoustic target recognition based on Gammatone filterbank and instantaneous frequency,” in 2017 IEEE 9th International Conference on Communication Software and Networks (ICCSN), Guangzhou: IEEE, May 2017, pp. 1207–1211.
[11] Y. Chen, F. Wang, J. Wan, and K. Xu, “Sparse and low-rank decomposition of covariance matrix for efficient DOA estimation,” in 2017 IEEE 9th International Conference on Communication Software and Networks (ICCSN), Guangzhou: IEEE, May 2017, pp. 957–961.
[12] Y. Chen, F. Wang, J. Wan, and K. Xu, “DOA estimation for long-distance underwater acoustic sources based on signal self-nulling,” in 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), Chongqing, China: IEEE, Mar. 2017, pp. 563–567.
[13] P. Chen, K. Xu, G. Li, J. Wan, and Y. Chen, “Local frechet distance in specific emitter identification,” in 2017 IEEE 9th International Conference on Communication Software and Networks (ICCSN), Guangzhou: IEEE, May 2017, pp. 842–845.
[14] Y. Ao, K. Xu, J. Wan, and Y. Chen, “Improved underwater target azimuth estimation histogram algorithm based on the coherence function with a single vector hydrophone,” in 2017 IEEE 9th International Conference on Communication Software and Networks (ICCSN), Guangzhou: IEEE, May 2017, pp. 1229–1233.
[15] Y. Ao, K. Xu, J. Wan, and Y. Chen, “A modified uni-vector-hydrophone ESPRIT algorithm for multisource joint DOA-frequency estimation,” in 2017 3rd IEEE International Conference on Computer and Communications (ICCC), Chengdu: IEEE, Dec. 2017, pp. 1381–1385.
[16] Y. Chen, F. Wang, J. Wan, and K. Xu, “Robust adaptive beamforming based on matched spectrum processing with little prior information,” in 2016 IEEE 13th International Conference on Signal Processing (ICSP), Chengdu, China: IEEE, Nov. 2016, pp. 404–408.
[17] Y. Chen, F. Wang, J. Wan, Y. Guo, and K. Xu, “MASS-RAB: Robust adaptive beamforming for general-rank signal models via matched spatial spectrum processing,” Applied Acoustics, vol. 111, pp. 205–213, Oct. 2016.
[18] Y. Chen, F. Wang, J. Wan, and G. Li, “Convex optimization based robust adaptive beamforming for underwater sensor array,” in 2016 IEEE 13th International Conference on Signal Processing (ICSP), Chengdu, China: IEEE, Nov. 2016, pp. 1661–1665.
[19] Y. Chen, F. Wang, J. Wan, G. Li, and K. Xu, “An ambiguity-reduced phase unwrapping method and its applications in parameter estimation,” in 2015 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Ningbo, China: IEEE, Sep. 2015, pp. 1–4.
二、 出版教材
(1) 离散时间信号处理与MATLAB仿真——学习及实验指导，西北工业大学出版社，2021。
(2) 离散时间信号处理与MATLAB仿真，电子工业出版社，2019。
三、发明专利
(1) 基于椭球半轴度量的小孔径线列阵空间功率谱估计方法, 202310923793.3。
(2) 基于延迟快拍的均匀线列阵高分辨波达方向估计方法，201811313404.0。
(3) 一种基于自适应滤波器幅频响应的高精度频率估计方法，201610993673.0。
(4) 一种传感器阵列的稳健自适应波束形成方法，201510655239.7。
荣誉与奖项：
(1) 数字信号处理课程“三层次四模块三导向”模式创新与实践获江西师范大学教学成果奖二等奖，2023。
(2) 以社会需求为导向的移动通信课程教学改革研究获江西师范大学教学成果奖二等奖，2017。
(3) 光通信课程教学范式获江西师范大学教学成果奖二等奖，2014。
指导学生情况：
指导研究生7人，已毕业4人。