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International Conference on Computer and Information technology (CIT)

作者： Dinghe Wang Qinglong Bao Zengping Chen Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology Changsha Changsha China Science and Technology on Automatic Target Recognition Laboratory ational University of Defense Technology Changsha Changsha Hunan CN Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology Changsha Changsha Hunan CN

Acoustic radar has the advantages of low cost, high resolution, and the simplicity for sampling and storage. Recent years, it has been widely studied and applied in fields such as target detection, recognition and imaging. However, the sound signal is usually wideband. The wideband correlation function is often used in active and passive detections. To address the problems of the errors and computational burden introduced by approximation and the interpolation of signal dilation, a Mellin transform based multi-pulse weak target detection method is proposed. The method can reduce the Mellin sampling numbers and the detection result can be updated pulse by pulse.

关键词： Wideband Transforms Correlation Yttrium Conferences Computers Information technology

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A target detection method for non-cooperative PBR with frequency-agile and PRI-AGILE radar

A target detection method for non-cooperative PBR with frequ...

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IET International Radar Conference 2015

作者： Caiyong Lin Panhe Hu Qinglong Bao Shuyan Zhang Zengping Chen Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology Changsha China

ISBN: (纸本)9781510822023

In case of passive bistatic radar (PBR) using a phased array radar (PAR) as the non-cooperative illuminator, there are problems that signal parameters of the transmitter are unknown and signal coherence is damaged. Aiming at the issues, this article presents a target detection method for PBR using PAR as the non-cooperative illuminator. Firstly, the method uses the direct wave to estimate signal parameters, and then pulse compresses scattered wave. Secondly, the compressed wave is aligned by fast-time dimension so that a Range-Time (R-T) map can be obtained. Finally, the target is detected according to the trajectory in R-T map. The field experimental results demonstrate the effectiveness of this method.

关键词： Range-Time map passive bistatic radar phased array radar target detection

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Simultaneous ISAR imaging of group targets flying in formation

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Chinese Journal of Aeronautics 2014年第6期27卷 1554-1561页

作者： Chen Jie Xiao Huaitie Song Zhiyong Fan Hongqi Automatic Target Recognition Laboratory National University of Defense Technology

This paper proposes a novel inverse synthetic aperture radar（ISAR） imaging method based on second-order keystone transform（KT） and Sandglass transform for group targets flying in a formation with constant accelerated rectilinear motion in the same radar beam. First, range curvature and range walk of each sub-target among group targets are corrected by the second-order KT combined with the quadratic phase term compensation. After range alignment, the signals in each range frequency cell can be modelled as multiple chirp signals and then the Sandglass transform is utilized to cross-range imaging, which transforms the time–frequency distribution of the signals in each range frequency cell into beelines parallel to the slow time axis simultaneously. Finally, cross-range profiles of group targets in each range frequency cell are obtained via a projection of the perk of every scatterer in the two-dimensional accumulation plane onto the frequency axis. The advantage of the proposed method is that it can align range profiles of each sub-target simultaneously and image cross-range profiles directly without separating the returned signals, which simplifies the operation procedure. Simulation results are used to demonstrate the effectiveness of the proposed method.

关键词： Formation flying Group targets Inverse synthetic aperture radar Keystone transform Radar imaging Sandglass transform

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Dual Space SVDD Based Radar target recognition from HRRP

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Chinese Journal of Electronics 2014年第2期23卷 419-425页

作者： XIAO Huaitie FENG Guoyu ZHU Yongfeng HUANG Mengjun Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology

In radar target recognition based on kernel method, Support vector data description(SVDD) has been applied to High resolution range profiles(HRRPs)recognition. In this paper, first, three distribution models,i.e., Membership model, Cloud model, Gaussian mixture model, are developed to describe distribution characteristics of HRRPs in extended space. Secondly, test HRRPs in multi-target hypersphere spaces are classified, in accordance with their multi-space distributing characteristics,into two types, i.e., shrink sample and slack sample. Determination of the property of a test sample is achieved by using the minimum relative distance for shrink samples and three distribution models for slack samples, respectively. Thus three HRRP recognition methods based on dual space SVDD are formed. The extensive experiment results for HRRPs of four planes show that the proposed methods have better recognition performance than the recognition method based on single space SVDD.

关键词： High resolution range profile Support vector data description Membership model Cloud model Gaussian mixture model

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A track processing method of multi-target based on passive radar

A track processing method of multi-target based on passive r...

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IET International Radar Conference 2015

作者： Shuyan Zhang Qinglong Bao Caiyong Lin Zengping Chen Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology Changsha China

ISBN: (纸本)9781510822023

According to the characteristics of passive radar, a new method of multi-target track processing based on Kalman filter is proposed, which is Track Searching based on Kalman Filter(TSKF). In this method, velocity method[1] is used firstly to find possible track and an adaptive association gate is adopted to associate with successive measurements. Secondly, Kalman filter is used to predict locations of successive measurements. Finally, Nearest Neighbor method is used to search all points belonging to the possible track and confirm the track. After that the algorithm need to go to a next cycle to find new target tracks. In order to demonstrate the validity of the proposed method, experiments with real data were conducted to compare with traditional Kalman method.

关键词： Kalman filter multi-target tracking passive radar track processing

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An algorithm for moving target detection in IR image based on grayscale distribution and kernel function

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Journal of Central South University 2014年第11期21卷 4270-4278页

作者：王鲁平张路平赵明李飚 Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology

A fast algorithm based on the grayscale distribution of infrared target and the weighted kernel function was proposed for the moving target detection(MTD) in dynamic scene of image series. This algorithm is used to deal with issues like the large computational complexity, the fluctuation of grayscale, and the noise in infrared images. Four characteristic points were selected by analyzing the grayscale distribution in infrared image, of which the series was quickly matched with an affine transformation model. The image was then divided into 32×32 squares and the gray-weighted kernel(GWK) for each square was calculated. At last, the MTD was carried out according to the variation of the four GWKs. The results indicate that the MTD can be achieved in real time using the algorithm with the fluctuations of grayscale and noise can be effectively suppressed. The detection probability is greater than 90% with the false alarm rate lower than 5% when the calculation time is less than 40 ms.

关键词： moving target detection gray-weighted kernel function dynamic background

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Free clustering optimal particle probability hypothesis density(PHD) filter

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Journal of Central South University 2014年第7期21卷 2673-2683页

作者：李云湘肖怀铁宋志勇范红旗付强 Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology

As to the fact that it is difficult to obtain analytical form of optimal sampling density and tracking performance of standard particle probability hypothesis density(P-PHD) filter would decline when clustering algorithm is used to extract target states,a free clustering optimal P-PHD(FCO-P-PHD) filter is *** method can lead to obtainment of analytical form of optimal sampling density of P-PHD filter and realization of optimal P-PHD filter without use of clustering algorithms in extraction target ***,as sate extraction method in FCO-P-PHD filter is coupled with the process of obtaining analytical form for optimal sampling density,through decoupling process,a new single-sensor free clustering state extraction method is *** combining this method with standard P-PHD filter,FC-P-PHD filter can be obtained,which significantly improves the tracking performance of P-PHD *** the end,the effectiveness of proposed algorithms and their advantages over other algorithms are validated through several simulation experiments.

关键词： multiple target tracking probability hypothesis density filter optimal sampling density particle filter random finite set clustering algorithm state extraction

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A supervised method for nonlinear dimensionality reduction with GPLVM

A supervised method for nonlinear dimensionality reduction w...

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Congress on Image and Signal Processing, CISP

作者： Shujin Sun Ping Zhong Huaitie Xiao Runsheng Wang Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology Changsha Hunan China

ISBN: (纸本)9781467390996

Dimensionality reduction is a very important task in many artificial applications. Among the current researches, Gaussian process latent variable model (GPLVM), which is a nonlinear dimensionality reduction method, has become a hot topic in recent years. In this paper, a supervised version of GPLVM with the prior characterized by the determinantal clustering process (DCP) prior is proposed. The combination of GPLVM with the DCP prior over the low dimensional positions has the ability of preservation the discriminative property between different classes. Experiments were conducted on two data sets, and the results demonstrated the better performance of the proposed method with respect to the original GPLVM.

关键词： Decision support systems Gaussian processes Signal processing Computational intelligence Intelligent systems Nanobioscience Bioinformatics

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An experimental study of digital array passive bistatic radar system

An experimental study of digital array passive bistatic rada...

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IET International Radar Conference 2015

作者： Panhe Hu Qinglong Bao Caiyong Lin Zengping Chen Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology Changsha 410073 China

ISBN: (纸本)9781510822023

Passive bistatic radars (PBR) using illuminators of opportunity have attracted much attention over the last years. However, most PBR systems have been rather experimental set-ups tailored to a single frequency band or implemented as laboratory test devices. In case of PBR exploiting transmitters for sources of illumination, there is a problem that radar transmitting signal parameters are unknown, and radar signal processing cannot be conducted accurately. This paper presents a study to demonstrate the feasibility of using a Digital Array Passive Bistatic Radar (DA-PBR) system in weak target detection. The design considerations and the resulting DA-PBR structure are described and the evaluations of various measurement campaigns with this system are summarized.

关键词： multiband passive bistatic radar passive bistatic radar weak target detection

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Analysis and Simulation of Quantum Radar Cross Section

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Chinese Physics Letters 2014年第3期31卷 62-64页

作者： LIU Kang XIAO Huai-Tie FAN Hong-Qi Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology Changsha 410073

We derive a modified analytical expression of a quantum radar cross section （QRCS）. Subsequently, we present a comparison between the QRCS and a classical radar cross section （RCS） and analyze the factors that can affect the intensity of the peak and side lobes. Simulation results on a flat rectangular plate demonstrate that QRCS has a similar structure to that of RCS. The analysis of side-lobe structure can benefit the design of quantum stealth platforms as well as the research on quantum radars.

关键词： RADAR cross sections RESEARCH RADAR -- Research QUANTUM theory COMPUTER simulation PHYSICS research

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