研究领域

雷达成像技术，稀疏表示，压缩感知

近期论文

1 Cheng Ping, Zhao Jiaqun, Generalized Pareto distribution based Bayesian compressed sensing inverse synthetic aperture radar imaging, IET Radar Sonar and Navigation, 2018, 2 (SCI检索)
2 Cheng Ping, Zhao Jiaqun, Xu Feng, Zhou Xiaofeng, Wang Guodong, Diode-pumped mid-infrared YVO4 Raman laser at 2418 nm, Applied Physics B, 2017, 12 (SCI检索)
3 Cheng Ping, Zhao Jiaqun, New compressed sensing ISAR imaging algorithm based on log-sum minimization, Journal of Electrical Engineering, 2016, 6 (SCI检索)
4 Cheng Ping, Shi Liu, Zhao Jiaqun, Compressed sensing of complex sinusoids off the grid，Journal of Electrical Engineering, 2015, 4 (SCI检索)
5 Cheng Ping, Liu Tingting, Wang Shu, Zhang Wei, A super resolution DOA estimation method based on sparse signal representation, International Conference on Communication Technology, 2014(EI检索)
6 Cheng Ping, Wang Shu, Liu Tingting, Li Jieyang, ISAR imaging and SNR analysis for maneuvering targets based on rearrangement Gabor method, International Conference on Communication Technology, 2014(EI检索)
7 Cheng Ping, Liu Tingting, Wang Shu, Zhang Jing, Radar imaging based on regularization method, International Conference on Communication Technology, 2014(EI检索)
8 Cheng Ping, Liu Haitian, Zhao Zhongkai, A compressive sensing-based technique for ISAR imaging, Proceedings of 2012 5th Global Symposium on Milimeter-Waves, 2012(EI检索)
9 成萍，赵家群，张春杰，司锡才，基于自适应稀疏表示的被动毫米波图像恢复，电波科学学报，2011,26（3）(EI检索)
10 成萍，赵家群，司锡才，赵昕，基于稀疏表示的被动毫米波L-R成像算法，电子与信息学报，2010，32（7）(EI检索)
11 成萍，赵家群，刘鲁涛，司锡才，基于特征增强的被动毫米波成像方法，电波科学学报，2010,25（5）(EI检索)
12 Cheng Ping, Liu Haitian, Zhao Jiaqun, A Novel Sparse Representation Algorithm Based on Local Competitions, IEEE International Conference on Information Theory and Information Security, 2010(EI检索)
13 Cheng Ping, Liu Haitian, Zhao Jiaqun, A New Profile Identification Method Based on Multi-scale Energy Feature，IEEE International Conference on Information Theory and Information Security, 2010(EI检索)
14 Cheng Ping, Liu Haitian, Zhao Jiaqun, A New Range Profile Identification Method Based on Multi-scale Entropy Feature，IEEE International Conference on Information Theory and Information Security, 2010(EI检索)