[1]
Sun Sizhe, Shi Yanling. Joint
Optimization of Resource Utilization and Jamming Method Selection for Cluster
Asymmetrical Multifunction Radars Based on Deep Reinforcement Learning. IEEE
Transactions on Aerospace and Electronic Systems,已录用
[2]
Shi yanling, Chen weisheng.
Sea surface target detection using global false alarm controllable adaptive boosting
based on correlation features. IEEE Transactions on Geoscience and Remote Sensing,
2023, 61:1-14.(SCI:000976155700002)
[3]
Shi Yanling, Hu Yuefeng. mRMR-Tri-ConcavHull detector for the floating small targets in sea clutter. IEEE Journal of Selected
Topics in Applied Earth Observations and Remote Sensing, 2023, 16:6799-6811. (SCI:001041983500001)
[4]
Shi Yanling, Guo yaxing,
Yao tingting and Liu zipeng. Sea-surface small floating target recurrence plots
FAC classification based on CNN. IEEE Transactions on Geoscience and Remote Sensing,
2022, 60:1-13. (SCI:000837291200017)
[5]
Shi yanling, Wang lei,
Yaotingting. Orthogonal projection constant false alarm rate algorithm in
fractional domain for small surface targets, IET signal processing, 2022,(5):1-17
(SCI:000800508600001)
[6]
Shi Yanling. Three GLRT detectors for range distributed target in
grouped partially homogeneous radar environment. signal processing. 135 (2017)
121-131 (SCI: 000395609800012)
[7]
Yanling Shi, Xiaoyan Xie, and Dongchen Li. Range distributed
floating target detection in sea clutter via feature-based detector. IEEE Geoscience
and Remote Sensing Letters, 2016, 13(12):1847-1850. (SCI: 000391298500020)
[8]
Yan-Ling Shi, Peng-Lang Shui. Target detection in high-resolution
sea clutter via block- adaptive clutter suppression. IET Radar Sonar Navig.,
2011, 5(1): 48-57. (SCI:000285184500007, EI: 20105013484781)
[9]
Shi, Y.-L; Shui, P.-L; Zhao, Y.-B. Oversampling gain in adaptive
normalised matched filter detector. IET Radar, Sonar and Navigation, 2011,
5(9):987-993 (SCI:000298347500009, EI:20140317199694)
[10] Peng-Lang Shui, Yan-Ling Shi. Subband
ANMF Detection of Moving Targets in Sea Clutter. IEEE Transactions on Aerospace
and Electronic Systems, 2012, 48(4):3578-3593 (SCI: 000309865600049, EI:
20124315591644)
[11] 时艳玲,陶平,许述文.基于WGAN-GP-CNN的海面小目标检测[J].信号处理,2024,40(06):1082-1097.
[12] 贾邦玲,时艳玲,姜磊.基于卷积神经网络的雷达工作模式识别[J].科技创新与应用,2023,13(22):15-18.
[13] 时艳玲,王磊,李君豪.基于投影空间下奇异值分解的海面小目标CFAR检测.系统工程与电子技术, 2022,44(02):512-519. EI: 20220811703524
[14] 时艳玲,刘子鹏,贾邦玲.样本不平衡下的海杂波弱目标分类研究.信号处理, 2021, 37(09): 1781-1789.
[15] 时艳玲,刘子鹏,张学良,顾为亮.基于EMD能量占比的海面漂浮小目标特征检测.系统工程与电子技术,2021,43(02):300-310. (EI:20210609886717)
[16] 时艳玲,李君豪.基于子带矩阵CFAR的海面慢速小目标检测算法.电子与信息学报,2021,43(09):2703-2710.
(EI:20213810923452)
[17] 时艳玲,姚婷婷,郭亚星.基于图连通密度的海面漂浮小目标检测.电子与信息学报:2021,11(43):3185-3192 (EI:20214811226892)
[18] 时艳玲, 杜宇翔, 蒋锐, 王昕. 部分均匀海杂波中基于分组加权的协方差矩阵估计算法. 信号处理, 2019,35(7):1170-1179.
[19] 时艳玲, 林毓峰, 梁丹丹. 非平稳海杂波背景下子带分段ANMF检测器. 系统工程与电子技术, 2018, 40(4):782-789. (EI:
20183705807344)
[20] 时艳玲, 林毓峰, 宛汀. 部分均匀海杂波中雷达目标的平滑自适应检测. 系统工程与电子技术,2016,38(12):2745-2751.
(EI:20165203176144)
[21] 时艳玲. 非平稳海杂波背景下子带开关相干检测器. 电子学报, 2014,42(10):1925-1931.
(EI: 20145300387558)
[22] 时艳玲. 空间非均匀海杂波的协方差矩阵估计新算法. 系统工程与电子技术, 2013, 35(11): 2239-2243. (EI:20140117165513)
[23] 时艳玲. 相干积累检测器中协方差矩阵估计的新算法. 电波科学学报, 2014,29(2):328-333.
(EI: 20142317795433)
[24] 时艳玲, 水鹏朗. 海面漂浮小目标的特征联合检测算法. 电子与信息学报, 2012,34(4):871-877.
(EI: 20122315093053)
[25] 时艳玲, 水鹏朗. ANMF和CM-CFAR在K分布海杂波下的性能分析. 西北大学学报, 2012. 42(3):
359-364.
[26] 时艳玲. 实测海杂波背景下相干检测器的性能对比分析. 中国雷达, 2014,1:19-24.
[27] 周忠根, 时艳玲, 水鹏朗. 天波超视距雷达瞬态干扰抑制方法. 西安电子科技大学学报, 2012, 39(6):
72-77. (EI:20130315915288)
[28] 宛汀, 时艳玲. 微波无源器件的快速有限元全波分析.
电子元件与材料, 2015,
34(8):78-82.
[29] Shi Yanling, Zhang
Xueliang, Liu Zipeng. Floating small target detection in sea clutter based on
jointed features in FRFT domain. ADHIP 2019 - 3rd EAI International Conference
on Advanced Hybrid Information Processing.Nanjing.
[30] Shi yanling.
Knowledge-aided group GLRT for range distributed target detection in partially
homogeneous environment. ADHIP 2019 - 3rd EAI International
Conference on Advanced Hybrid Information Processing, Nanjing.
[31] Shi Yanling. Adaptive Range-spread Target
Detection based on a Laplace Approximation. 2016 CIE International Conference
on Radar, Guangzhou. 2016.10.
[32] Yanling Shi, Xiaoyan Xie. Adaptive
diagonal loading covariance matrix estimator in spatially heterogeneous sea
clutter. 2nd International Workshop on Materials Engineering and Computer Sciences (IWMECS, 2015) , 2015, 470-475.
[33] T. Wan, T.
Hong, Y. L. Shi, Y. Q. Hu. An efficient EM simulation method for the fast
design and analysis of large antenna arrays. 2015 International Conference on
Information and Communications Technologies (ICT 2015) (EI: 20161102102059).
[34] Yan-ling Shi.
Impact of spatially and temporally nonstationary clutter on covariance matrix
estimation. IET International Radar Conference, 2013. (EI: 20141017419063).
[35] Yan-Ling Shi.
The analysis of equivalent sample of correlated data. Proceedings of the 2013
6th International Congress on Image and Signal Processing, 2013.(EI:
20141117463903)
[36] Yan-ling Shi.
Floating target abnormal detection based on three united features IET
International Conference on Radar Systems, 2012. (EI: 20132116349836)
[37] Yan-Ling Shi,
Peng-Lang Shui, Feng Luo. Target detection based on correlation and power
features in sea clutter. IET International Radar Conference, Guilin, China,
May, 2009. (EI: 20094412406432)