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| 1 | 4-Formyl-2-(2H-benzotriazol-2-yl)-phenol: an ESIPT chromophore显示文摘In the present work, excited state intramolecular proton transfer(ESIPT) emission properties of a new benzotriazole derivative 4-formyl-2-(2H-benzotriazol-2-yl)-phenol(C1) were studied. 4-Formyl-2-(2H-benzotriazol-2-yl)-methoxy-benzene(C2), 4-formyl-2-(2H-benzotriazol-2-yl)-phenyl acetate(C3) and 4-methyl-2-(2H-benzotriazol-2-yl)-phenol(C4) were used as the reference molecules.1H NMR chemical shift of hydroxy group in C1 was located at more down field than that of C4 or p-hydroxy-benzaldehyde(C5), respectively. C1 showed two absorption bands in the range of 260–400 nm zones in various solvents, while C2 and C3 exhibited single absorption band. The equal molar mixtures of C2/C5 or C3/C5 showed single absorption band.C2 and C3 displayed single fluorescence emission band in various solvents, while C1 exhibited dual emission bands in some strong polar solvents. Furthermore, the second emission band in these strong polar solvents showed the large Stokes shift. The results show that the second emission band of C1 was produced by ESIPT. C2 and C3 could not undergo ESIPT due to no hydroxy group. The geometry optimization calculation of enol and keto forms in the ground and excited states of C1 provided tough theoretical evidences of ESIPT. | Yao Lu Yulong Gong Huiying Ma Zhenqiang Wang Haili Li Ziping Luo Hongru Li Fang Gao | 2014 | Chinese Science Bulletin2014，59，34： | 4 |
| 2 | Data fusion of target characteristic in multistatic passive radar显示文摘Radar cross section(RCS)is an important attribute of radar targets and has been widely used in automatic target recognition(ATR).In a passive radar,only the RCS multiplied by a coefficient is available due to the unknown transmitting parameters.For different transmitter-receiver(bistatic)pairs,the coefficients are different.Thus,the recovered RCS in different transmitter-receiver(bistatic)pairs cannot be fused for further use.In this paper,we propose a quantity named quasi-echo-power(QEP)as well as a method for eliminating differences of this quantity among different transmitter-receiver(bistatic)pairs.The QEP is defined as the target echo power after being compensated for distance and pattern propagation factor.The proposed method estimates the station difference coefficients(SDCs)of transmitter-receiver(bistatic)pairs relative to the reference transmitter-receiver(bistatic)pair first.Then,it compensates the QEP and gets the compensated QEP.The compensated QEP possesses a linear relationship with the target RCS.Statistical analyses on the simulated and real-life QEP data show that the proposed method can effectively estimate the SDC between different stations,and the compensated QEP from different receiving stations has the same distribution characteristics for the same target. | CAO Xiaomao YI Jianxin GONG Ziping RAO Yunhua WAN Xianrong | 2021 | Journal of Systems Engineering and Electronics2021，32，4： | 2 |
| 3 | High-accuracy target tracking for multistatic passive radar based on a deep feedforward neural network显示文摘In radar systems,target tracking errors are mainly from motion models and nonlinear measurements.When we evaluate a tracking algorithm,its tracking accuracy is the main criterion.To improve the tracking accuracy,in this paper we formulate the tracking problem into a regression model from measurements to target states.A tracking algorithm based on a modified deep feedforward neural network(MDFNN)is then proposed.In MDFNN,a filter layer is introduced to describe the temporal sequence relationship of the input measurement sequence,and the optimal measurement sequence size is analyzed.Simulations and field experimental data of the passive radar show that the accuracy of the proposed algorithm is better than those of extended Kalman filter(EKF),unscented Kalman filter(UKF),and recurrent neural network(RNN)based tracking methods under the considered scenarios. | Baoxiong XU Jianxin YI Feng CHENG Ziping GONG Xianrong WAN | 2023 | Frontiers of Information Technology & Electronic Engineering2023，24，8： | 1 |
| 4 | Automatic target recognition combining angular diversity and time diversity for multistatic passive radar显示文摘Dear editor, The radar cross section-based (RCS-based) method is an important research direction in the field of automatic target recognition (ATR) of passive radars [1–5]. Due to the unknown transmitting parameters in the passive radar, it is impossible to extract the true target RCS from the echo power. As a result of this, researchers use a biased RCS which has an unknown parameter to realize the RCS-based ATR in passive radar [1, 2]. | Xiaomao CAO Jianxin YI Ziping GONG Xianrong WAN | 2022 | Science China(Information Sciences)2022，65，7： | 1 |
| 5 | A Research and Analysis Method of Open Source Threat Intelligence Data显示文摘As the form of cyber threats becomes more complex,which leads to a widespread concern about how to promote network security active defense system by using the exploding cyber threat intelligence.Basing on the content analysis method,introduces the precision,recall rate and timely rate on the basis of the change of time dimension,and analyzes the threat intelligence provider from three aspects.The validity of this method is verified by the test of massive source of threat data,which improves the efficiency of CIF analysis and makes it easy to analyze and extract the threat intelligence information quickly. | Ruyue Liu Ziping Zhao Chengjun Sun Xiaoyu Yang Xiaoli Gong Jin Zhang | 2017 | 国际计算机前沿大会会议论文集2017，，1： | 0 |
| 6 | DOA estimation based on multi-frequency joint sparse Bayesian learning for passive radar显示文摘This paper considers multi-frequency passive radar and develops a multi-frequency joint direction of arrival(DOA)estimation algorithm to improve estimation accuracy and resolution.The developed algorithm exploits the sparsity of targets in the spatial domain.Specifically,we first extract the required frequency channel data and acquire the snapshot data through a series of preprocessing such as clutter suppression,coherent integration,beamforming,and constant false alarm rate(CFAR)detection.Then,based on the framework of sparse Bayesian learning,the target’s DOA is estimated by jointly extracting the multi-frequency data via evidence maximization.Simulation results show that the developed algorithm has better estimation accuracy and resolution than other existing multi-frequency DOA estimation algorithms,especially under the scenarios of low signalto-noise ratio(SNR)and small snapshots.Furthermore,the effectiveness is verified by the field experimental data of a multi-frequency FM-based passive radar. | WEN Jinfang YI Jianxin WAN Xianrong GONG Ziping SHEN Ji | 2022 | Journal of Systems Engineering and Electronics2022，33，5： | 0 |
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