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| 1 | Target classification with low-resolution radar based on dispersion situations of eigenvalue spectra显示文摘Most low-resolution radar systems, especially ground surveillance radar systems, work at relatively low pulse repeat frequency (PRF) and with short time-on-target (TOT) (duration in scanning). Low PRF leads to Doppler ambiguity and short TOT results in low Doppler resolution, which poses a problem to target classification with low-resolution radar based on the jet engine modulation (JEM) characteristic of radar echo. From the pattern classification viewpoint, we propose a method of using dispersion situations of JEM eigenvalue spectra to categorize aeroplanes into three kinds, namely turbojet aircraft, prop aircraft and helicopter. We analyze the mathematical model of JEM echoes consisting of a series of line spectra and regard them as a sum of several series of harmonious waves. Classification features can be extracted based on the harmonious wave sum model. Some schemes for extracting features from echoes within or between pulses are proposed. Low-dimensional features are extracted to reduce computation burden. Our methods do not compensate for the fuselage echoes and are insensitive to the variation of fuselage Doppler. The feasibility of our methods is demonstrated by simulation experiment. | CHEN Feng, LIU HongWei, DU Lan & BAO Zheng National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China | 2010 | Science China(Information Sciences)2010，53，7： | 12 |
| 2 | Physical modeling and spectrum spread analysis of surface clutter in forward scattering radar显示文摘In this paper, based on the processing results of measured clutter data in forward scattering radar, a special phenomenon that the clutter spectrum spread is insensitive to the wind speed and carrier frequency is observed. The pendulum model is first time introduced into the physical modeling and formation mechanism analysis of surface clutter, and the quantitative expression of clutter spectrum spread is analytically obtained. Under the assumption of pendulum model, the processing results of measured clutter data agree well with the results of theoretical analysis, which fully verifies the correctness of pendulum model and reveals the formation mechanism of surface clutter spectrum in forward scattering radar. Furthermore, according to the stability of clutter spectrum spread with respect to carrier frequencies and wind speed, the optimal cutofrequencies of clutter filter can be obtained, which establishes the basis for moving target detection and accurate parameters estimation. | LONG Teng, HU Cheng, ZENG Tao & LI XiaoLiang Radar Research Laboratory, Department of Electronic Engineering, Beijing Institute of Technology, Beijing 100081, China | 2010 | Science China(Information Sciences)2010，53，11： | 11 |
| 3 | Statistic characteristic analysis of forward scattering surface clutter in bistatic radar显示文摘In this paper,based on the processing results of measured forward scattering clutter data in bistatic radar,using the Gaussian distribution model,Exponential distribution model,Power-Law distribution model,high order Auto-Regressive model and so on,the probability density distribution and power spectrum mathematical model are obtained,and the impact of clutter statistic models on target detection performance is analytically derived from statistic theory.According to the estimated clutter probability distribution,power spectrum model and generalized matching filter theory,the forward scattering clutter in bistatic radar is effectively suppressed and the target motion parameters are accurately estimated from the measured clutter data. | HU Cheng ,LONG Teng & ZENG Tao Radar Research Lab,Department of Electronic Engineering,Beijing Institute of Technology,Beijing 100081,China | 2010 | Science China(Information Sciences)2010，53，12： | 11 |
| 4 | Time-frequency characteristics based motion estimation and imaging for high speed spinning targets via narrowband waveforms显示文摘This paper focuses on the motion parameters estimation and inversed synthetic aperture radar (ISAR) imaging for the high-speed spinning targets via the time-frequency characteristics. Assuming that the translational motion is compensated with the available motion compensation techniques, then the residual part of translational motion and the spinning motion are estimated with high precision based on the timefrequency characteristics. Combining with the procedure of the motion estimation, a novel coherent timefrequency spectrum intensity redistribution method, coherent single range Doppler interferometry (CSRDI), is proposed, which provides higher resolution and sustain lower signal to noise rate (SNR) than the current approach. Numerical simulation confirms the validity and high precision of the proposed approaches. | ZHANG Lei , LI YaChao, LIU Yan, XING MengDao & BAO Zheng National Lab for Radar Signal Processing, Xidian University, Xi’an 710071, China | 2010 | Science China(Information Sciences)2010，53，8： | 9 |
| 5 | FAST RECURSIVE LEAST SQUARES LEARNING ALGORITHM FOR PRINCIPAL COMPONENT ANALYSIS显示文摘Based on the least-square minimization a computationally efficient learning algorithm for the Principal Component Analysis(PCA) is derived. The dual learning rate parameters are adaptively introduced to make the proposed algorithm providing the capability of the fast convergence and high accuracy for extracting all the principal components. It is shown that all the information needed for PCA can be completely represented by the unnormalized weight vector which is updated based only on the corresponding neuron input-output product. The convergence performance of the proposed algorithm is briefly analyzed.The relation between Oja’s rule and the least squares learning rule is also established. Finally, a simulation example is given to illustrate the effectiveness of this algorithm for PCA. | Ouyang Shan Bao Zheng Liao Guisheng(Guilin Institute of Electronic Technology, Guilin 541004)(Key Laboratory of Radar Signal Processing, Xidian Univ., Xi’an 710071) | 2000 | Journal of Electronics(China)2000，17，3： | 8 |
| 6 | 应用等效纬度海拔模型进行地温及多年冻土制图(英)显示文摘This research presents a method for permafrost mapping in discontinuous permafrost regions based on equivalent latitude/elevation concept in interior Alaska. In winter months, study site has a strong temperature inversion in air up to 700 m elevation. Air temperature data and the effects of slope, aspect and elevation were used to create an equivalent latitude/elevation model. This model was well correlated with mean annual surface temperature (0\^79). In this watershed, the thawing index (\%I\%\-t≈\{1 400\} ℃\5days) at the ground surface and snow depth do not vary greatly from south facing to north facing slopes. The primary controlled factor that determines the mean annual surface temperature was the winter surface temperature. The permafrost stability is effectively controlled by the freezing index. We determined 37\^5% of Caribou-Poker Creeks Research Watershed has unstable or thawing permafrost. At least 2\^1% of the permafrost in this watershed may have disappeared in the last 90 years due to climate warming. This method makes it possible to evaluate the permafrost stability in the present, past and future. | Kenji Yoshikawa\+1,\ Larry D. Hinzman\+1,\ Prasad Gogineni\+2 (1.Water and Environmental Research Center, University of Alaska Fairbanks, USA 2.The University of Kansas, Radar Systems and Remote Sensing Laboratory, USA) | 2002 | 冰川冻土2002，24，5： | 5 |
| 7 | Multistage decomposition algorithm for blind source separation显示文摘A new algorithm for blind source separation is proposed, which only extracts the single independent component at each stage. The single independent component is acquired by an iterative algorithm for searching for the optimal solution of the defined cost function. Moreover, all the independent components are obtained by systematic multistage decomposition and multistage reconstruction. When there is spatially colored noise, the performance of this algorithm is advantageous over jointly approximated diagonalization of eigen-matrices (JADE). Simulated results show that if the number of source signals is more than 25, its computational complexity is lower than that of JADE. | FENG Dazheng, BAO Zheng and ZHANG Xianda(Key Laboratory for Radar Signal Processing, Xidian University, Xi’an 710071, China) | 2002 | Progress in Natural Science:Materials International2002，12，5： | 5 |
| 8 | Multiuser detection and independent component analysis——Progress and perspective显示文摘The latest progress in the multiuser detection and independent component analysis (ICA) is reviewed systematically. Then two novel classes of multiuser detection methods based on ICA algorithms and feedforward neural networks are proposed. Theoretical analysis and computer simulation show that ICA algorithms are effective to detect multiuser signals in code-division multiple-access (CDMA) system. The performances of these methods are not identical entirely in various channels, but all of them are robust, efficient, fast and suitable for real-time implementations. | JIAO Licheng , MA Haibo and LIU Fang( State Key Laboratory for Radar Signal Processing, Xidian University, Xi’an 710071, China) | 2002 | Progress in Natural Science:Materials International2002，12，7： | 3 |
| 9 | 毛细管熔体静电纺丝法制备热塑性聚氨酯纤维显示文摘由于热塑性聚氨酯具有耐磨性、抗凝血性、生物相容性较好及价格低廉等特点,聚氨酯纤维具有较高的断裂伸长率及良好的塑性变形能力,被广泛应用于服装、组织支架、伤口敷料等领域。熔体静电纺丝法具有无有毒溶剂残留、易产业化等特点。文章通过分析热塑性聚氨酯的可纺性,并利用自主产权的熔体毛细管静电纺丝设备对制备热塑性聚氨酯超细纤维的最佳参数进行研究。结果表明,当纺丝温度为200℃、纺丝距离为9 cm、纺丝电压为50 kV时,制备得到的纤维直径达到最小值,其值为6.7μm。随着纺丝距离的增大,纤维直径分布变化不显著;但是,随着纺丝电压的增大,纤维平均直径减小,纤维直径分布呈下降的趋势。 | 张子鹏 杨卫民 王晓辉 陈琪琪 RADAR 李好义 | 2021 | 塑料2021，50，2： | 3 |
| 10 | Volterra Feedforward Neural Networks:Theory and Algorithms显示文摘Volterra Feedforward Neural Networks: Theory and AlgorithmsJiaoLichengl;LiuFang&XieQin(NationalLab.forRadarSignalProcessingan... | Jiao Lichengl Liu Fang & Xie Qin(National Lab. for Radar Signal Processing and Center for Neural Networks,Xidian University, Xian 710071, P.R.China) | 1996 | Journal of Systems Engineering and Electronics1996，7，4： | 3 |
| 11 | A digital frequency synthesizer显示文摘 | Jierey J Radar C M Gold B | 1971 | IEEE Trans on Audio Eltroacoust1971，19，： | 2 |
| 12 | Application of Superresolution Techniques to Radar Imaging显示文摘ApplicationofSuperresolutionTechniquestoRadarImagingA.Fanrina,F.Prodi&F.Vinelli(Alenia.UnaAziendaFinmeccanica.Radar&C2Divisio... | A. Fanrina, F.Prodi & F. Vinelli(Alenia. Una Azienda Finmeccanica. Radar & C2 DivisionVia Tiburtina km. 12.400. 00131 Roma, Italy) | 1994 | Journal of Systems Engineering and Electronics1994，5，1： | 2 |
| 13 | Distributed Capacitance of Coaxial Line With Perturbed Walls显示文摘Perturbation method of boundary geometry(PMOBG) used in Lapiacian problems is dealt with and the three--term perturbation expression of distributed capacitance of a coaxial line with perturbed walls is obtained. As an example,four-order expression of distributed capacitance of a elliptic coaxial line with small eccentricity is given. | PENG Bao-quan FU Wen-bin YANG Chun-shan ( Department of Physics, Huazhong University of Science and Technology,Wuhan 430074,China Microwave Engineering Department,Air Force Radar Academy,Wuhan 430010,China) | 2000 | Wuhan University Journal of Natural Sciences2000，5，1： | 2 |
| 14 | 超句法分析在大学英语写作中的运用(英文)显示文摘本文旨在从语篇层面论述如何具体分析大学英语写作中的粘连手段和语篇连贯性问题,不涉及句子层面的东西。作者从介绍语篇基本知识和诠释超句法分析的有关术语入手,运用著名语言学家韩礼德(Halliday)和哈森(Hasan)进行语篇分析时所采用的语篇'粘连'代码系统,对大学英语六级考试(CET-6)中一位学生的英语作文实例进行了语篇'粘连项'分析,使语篇的'有形网络'(即粘连项)和'无形网络'(即连贯性)得到了充分的说明与展示,从而向广大的英语教学工作者尤其是大学英语教师提供了一种指导学生英文写作、帮助学生建立语篇意识及评价学生英语作文的新方法。 | Liu Wenjun Air Force Radar Academy of PLA | 2002 | Chinese Journal of Applied Linguistics2002，25，1： | 2 |
| 15 | A Target Recognition Approach to Projecting HRR Profiles onto Subspace显示文摘A array of the azimuthally averaged range-profile vectors and the inter-class and intra-class divergence matrixes are constructed iwth many frames of the high resolution range profiles which result from radar echoes of airplanes. Taking the methods of whitening transformation and SVD produces a system of subspace vectors for target recognition. Whereupon, a template library for target recognition is built by the projection of a class-mean vector made from the radar data onto the subspace for recognition. By Euclidean distance, a comparison is made between the above projection and each template in the library, to decide which class the target belongs to. Finally, simulations with the experimental radar data arte given to show that the proposed method is robust to variation in azimuth and immune to additive Gaussian noise when SNR≥5dB. | Pei Bingnan & Bao ZhengKey Lab. of Radar Signal Processing, Xidian University, Xi’an 710071, P. R. China Dept. of Electronic Engineering, Zhengzhou University, Zhengzhou 450052, P.R. China | 2003 | Journal of Systems Engineering and Electronics2003，14，1： | 1 |
| 16 | Radar interferogram filtering for geophysical applications显示文摘 | Goldenstein R M Radar C L | 1998 | Geophysical Reservation Letter1998，25，21： | 1 |
| 17 | A six-month comparison of three periodontal local antimicrobial therapies in periodontal pockets 显示文摘 | Kinane DF Radar M | 1999 | J Periodontol1999，70，4： | 1 |
| 18 | Behavioral dependence in patients with medication overuse headache: a cross-sectional study in consulting patients using the DSM-IV criteria显示文摘 | Radar F Creach C Guegan-Massardier E | 2008 | Headache2008，48，7： | 1 |
| 19 | Pregnancy and lactation显示文摘 | Suresh L Radar L | 2004 | Oral Surg Oral Med OralPathol Oral Radiol Endod2004，9，7： | 1 |
| 20 | Civil Aviation Flight University of China显示文摘 | Airborne Weather Radar System | 2009 | 2009，，： | 1 |
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