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Radial acceleration estimation of multiple high maneuvering targets

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Journal of Systems Engineering and Electronics 2014年第2期25卷 183-193页

作者： Shuyi Jia Guohong Wang shuncheng tan Institute of Information Fusion Naval Aeronautical and Astronautical University

The acceleration of a high maneuvering target in signal processing is helpful to enhance the performance of the tracker and facilitate the classification of targets. At present, most of the research on acceleration estimation is carried out in cases of a single target with time-frequency analysis methods such as fractional Fourier transform （FRFT）, Hough-ambiguity transform （HAT）, and Wigner-Vil e distribution （WVD）, which need to satisfy enough time duration and sampling theorem. Only one reference proposed a method of acceleration estimation for multiple targets based on modified polynomial phase transform （MPPT） in the lin-ear frequency modulation （LFM） continuous-wave （CW） radar. The method of acceleration estimation for multiple targets in the pulse Doppler （PD） radar has not been reported so far. Compressive sensing （CS） has the advantage of sampling at a low rate and short duration without sacrificing estimation performance. There-fore, this paper proposes a new method of acceleration estimation for multiple maneuvering targets with the unknown number based on CS with pulse Doppler signals. Simulation results validate the effectiveness of the proposed method under several conditions with different duration, measurement numbers, signal to noise ra-tios （SNR）, and regularization parameters, respectively. Simulation results also show that the performance of the proposed method is superior to that of FRFT and HAT in the condition of multiple targets.

关键词： radial acceleration compressive sensing (CS) highmaneuvering targets fractional Fourier transform (FRFT) Hough-ambiguity transform (HAT).

A novel RHT-TBD approach for weak targets in HPRF radar

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Science China Earth Sciences 2016年第12期59卷 59-72页

作者： Hongbo YU Guohong WANG Wei WU shuncheng tan Institute of Information Fusion Naval Aeronautical and Astronautical University

A novel approach, which can handle ambiguous data from weak targets, is proposed within the randomized Hough transform track-before-detect(RHT-TBD) framework. The main idea is that, without the pre-detection and ambiguity resolution step at each time step, the ambiguous measurements are mapped by the multiple hypothesis ranging(MHR) procedure. In this way, all the information, based on the relativity in time and pulse repetition frequency(PRF) domains, can be gathered among different PRFs and integrated over time via a batch procedure. The final step is to perform the RHT with all the extended measurements, and the ambiguous data is unfolded while the detection decision is confirmed at the end of the processing *** classic methods, the new approach resolves the problem of range ambiguity and detects the true track for targets. Finally, its application is illustrated to analyze and compare the performance between the proposed approach and the existing approach. Simulation results exhibit the effectiveness of this approach.

关键词： high pulse repetition frequency weak targets track-before-detect randomized Hough transform multiple hypothesis ranging range ambiguity resolution

Multiple model particle flter track-before-detect for range ambiguous radar

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Chinese Journal of Aeronautics 2013年第6期26卷 1477-1487页

作者： Wang Guohong tan shuncheng Guan Chengbin Wang Na Liu Zhaolei Institute of Information Fusion Naval Aeronautical and Astronautical University No.92941 Unit 93 Element Nanjing Research Institute of Electronics Technology

The middle pulse repetition frequency（MPRF）and high pulse repetition frequency（HPRF）modes are widely adopted in airborne pulse Doppler（PD）radar systems,which results in the problem that the range measurement of targets is *** existing data processing based range ambiguity resolving methods work well on the condition that the signal-to-noise ratio（SNR）is high *** this paper,a multiple model particle flter（MMPF）based track-beforedetect（TBD）method is proposed to address the problem of target detection and tracking with range ambiguous radar in low-SNR *** introducing a discrete variable that denotes whether a target is present or not and the discrete pulse interval number（PIN）as components of the target state vector,and modeling the incremental variable of the PIN as a three-state Markov chain,the proposed algorithm converts the problem of range ambiguity resolving into a hybrid state fltering *** last,the hybrid fltering problem is implemented by a MMPF-based TBD method in the Bayesian *** results demonstrate that the proposed Bayesian approach can estimate target state as well as the PIN simultaneously,and succeeds in detecting and tracking weak targets with the range ambiguous *** results also show that the performance of the proposed method is superior to that of the multiple hypothesis（MH）method in low-SNR environment.

关键词： Bayesian framework Particle flter Pulse repetition frequency Range ambiguity Signal-to-noise ratio Track-before-detect

Joint range ambiguity resolving and multiple maneuvering targets tracking in clutter via MMPHDF-DA

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Science China(Information Sciences) 2014年第8期57卷 117-128页

作者： tan shuncheng WANG GuoHong WANG Na YU HongBo Institute of Information Fusion Technology Naval Aeronautical and Astronautical University Unit 92941 93 Element

It is difficult to track multiple maneuvering targets of which the number is unknown and timevarying,especially when there is range *** random finite sets(RFS)based probability hypothesis density filter(PHDF)is an effective solution to the problem of multiple targets ***,when tracking multiple targets via the range ambiguous radar,the problem of range ambiguity has to be *** this paper,a multiple model PHDF and data association(MMPHDF-DA)based method is proposed to address multiple maneuvering targets tracking with range ambiguous radar in ***,by introducing the turn rate of target and the discrete pulse interval number(PIN)as components of target state vector,and modeling the incremental variable of the PIN as a three-state Markov chain,the problem of multiple maneuvering targets tracking with range ambiguity is converted into a hybrid state filtering ***,by implementing a novel"track-estimate"oriented association with the filtering results of the hybrid filter,target tracks are provided at each time *** results demonstrate that the MMPHDF-DA can estimate target state as well as the PIN simultaneously,and succeeds in multiple maneuvering target tracking with range ambiguity in *** results also demonstrate that the MMPHDF-DA can overcome the limitation of the Chinese Remainder Theorem for range ambiguity resolving.

关键词： probability hypothesis density particle filter range ambiguity maneuvering target tracking data association

Camouflaged target detection based on multimodal image input pixel-level fusion

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Frontiers of Information Technology & Electronic Engineering 2024年第9期25卷 1226-1239页

作者： Ruihui PENG Jie LAI Xueting YANG Dianxing SUN shuncheng tan Yingjuan SONG Wei GUO Qingdao Innovation and Development Base Harbin Engineering UniversityQingdao 266000China College of Information and Communication Engineering Harbin Engineering UniversityHarbin 150001China Insitute of Information Fusion Naval Aeronautical UniversityYantai 264001China

Camouflaged targets are a type of nonsalient target with high foreground and background fusion and minimal target feature information,making target recognition extremely *** detection algorithms for camouflaged targets use only the target’s single-band information,resulting in low detection accuracy and a high missed detection *** present a multimodal image fusion camouflaged target detection technique (MIF-YOLOv5) in this ***,we provide a multimodal image input to achieve pixel-level fusion of the camouflaged target’s optical and infrared images to improve the effective feature information of the camouflaged ***,a loss function is created,and the K-Means++clustering technique is used to optimize the target anchor frame in the dataset to increase camouflage personnel detection accuracy and ***,a comprehensive detection index of camouflaged targets is proposed to compare the overall effectiveness of various *** crucially,we create a multispectral camouflage target dataset to test the suggested *** results show that the proposed method has the best comprehensive detection performance,with a detection accuracy of 96.5%,a recognition probability of92.5%,a parameter number increase of 1×10^(4),a theoretical calculation amount increase of 0.03 GFLOPs,and a comprehensive detection index of *** advantage of this method in terms of detection accuracy is also apparent in performance comparisons with other target algorithms.

关键词： Camouflaged target detection Pixel-level fusion Anchor box optimization Loss function Multispectral dataset

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基于KCF与改进ORB的增强现实方法

计算机工程 2019年第8期45卷 230-235页

作者：李一冯楠谭顺成中国人民解放军92493部队13分队辽宁葫芦岛125000 中国人民解放军92941部队41分队辽宁葫芦岛125000 海军航空大学信息融合研究所山东烟台264001

针对增强现实(AR)系统在进行虚拟信息叠加时待注册区域被遮挡的情况,提出一种基于实时特征检测与目标跟踪的AR系统三维注册方法。使用KCF算法对待注册目标区域与模板进行实时FAST特征匹配,通过改进ORB算法,提出SIFT-ORB-MRANSAC融合算法... 详细信息

针对增强现实(AR)系统在进行虚拟信息叠加时待注册区域被遮挡的情况,提出一种基于实时特征检测与目标跟踪的AR系统三维注册方法。使用KCF算法对待注册目标区域与模板进行实时FAST特征匹配,通过改进ORB算法,提出SIFT-ORB-MRANSAC融合算法,完成特征点的提取、匹配以及误匹配去除。在此基础上,根据特征点之间的匹配关系计算注册矩阵,通过注册矩阵叠加虚拟信息实现对现实世界的增强。实验结果表明,该方法在光照变化、遮挡以及旋转变换的情况下,可将虚拟信息快速、准确地叠加到待注册区域,提高AR系统的运算效率。

关键词： ORB算法 KCF算法增强现实三维注册特征点

SiamTBD:A Novel Algorithm for Small and Dim Target Tracking Using Video SAR

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SiamTBD:A Novel Algorithm for Small and Dim Target Tracking ...

第43届中国控制会议

作者： Zhenyuan Li Jing Liu Jianting Zhang Haolong Wang Xinyuan Ji shuncheng tan Hailang Zhang Ministry of Education Key Laboratory for Intelligent Network and Network Security School of Automation Science and EngineeringFaculty of Electronic and Information Engineering Xi'an Jiaotong University No.91977 Unit of the Chinese People's Liberation Army Institute of Information Fusion Naval Aviation University

A large number of publications on detection and tracking have appeared in the field of video synthetic aperture radar(Video SAR) due to its capability of forming high-resolution videos for a region of interest. However, Video SAR tracking faces many challenges, e.g., the dim and small target shadows with weak visual features, interference from nearby similar objects,etc. Moreover, the target may be submerged in strong clutters for a short period. In this work, a novel Siamese Region Proposal Network(SiamRPN) based track-before-detect algorithm, namely SiamTBD, is proposed to address the above issues. The SiamRPN network is chosen as the tracking backbone, considering its superiority in speed and accuracy. Moreover, a multiframe tree composed of root/branch/leaf bounding boxes in different frames is constructed based on multi-frame information. In each frame, we select multiple templates based on the scores assigned to the branch/leaf bounding boxes, which are calculated based on both the appearance features and the motion information. Furthermore, inspired by the idea from the track-before-detect(TBD) technique, the information from multiple frames is accumulated and finally used to determine the existence of the target as well as estimate its trajectory. A number of experiments are conducted using the Video SAR data released by Sandia National Laboratory. The experimental results show that the proposed SiamTBD algorithm outperforms several state-of-the-art correlation filter-based and Siamese network-based tracking algorithms.

关键词： Video synthetic aperture radar(Video SAR) Siamese Region Proposal Network(SiamRPN) track-before-detect(TBD) multi-frame tree moving target tracking

来源： cnki会议评论

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集中式雷达网鉴别虚假航迹的假设检验方法

西安交通大学学报 2015年第2期49卷 80-85页

作者：吴健平王国宏孙殿星谭顺成海军航空工程学院信息融合技术研究所山东烟台264001 海军驻苏锡地区航空军事代表室江苏苏州214000

针对电子战飞机(ECAV)编队实施的航迹欺骗容易对雷达网产生虚假空情的问题,提出了一种集中式雷达网鉴别虚假航迹的假设检验(HT)方法。首先,根据航迹欺骗的具体实际,建立了虚假目标量测的误差模型,在此基础上,利用量测数据以及目标状态... 详细信息

针对电子战飞机(ECAV)编队实施的航迹欺骗容易对雷达网产生虚假空情的问题,提出了一种集中式雷达网鉴别虚假航迹的假设检验(HT)方法。首先,根据航迹欺骗的具体实际,建立了虚假目标量测的误差模型,在此基础上,利用量测数据以及目标状态估计构造了样本的量测误差协方差阵;然后,采用统计分析的方法对误差协方差阵进行假设检验,完成单雷达对航迹真实性的判决;最终,利用M/N逻辑加强判决可靠性,突出雷达网的抗干扰优势。与目前在雷达战术或技术上广泛运用的具有较强试探性的方法相比,HT方法立足理论分析,具有更好的可靠性和可行性,其虚假航迹正确鉴别率能够达到90%以上。

关键词：雷达网航迹欺骗假设检验 M/N逻辑

基于多相参处理间隔频响特征聚类的有源假目标鉴别方法

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电子与信息学报 2024年第7期46卷 2721-2731页

作者：韦文斌彭锐晖孙殿星谭顺成宋颖娟张家林哈尔滨工程大学青岛创新发展基地青岛266000 海军航空大学信息融合研究所烟台264001

现有真-假目标智能识别算法大多基于监督学习,且在低信噪比条件下表现不好。针对上述问题,该文分别利用真、假目标在多个相参处理间隔(CPIs)内散射特性的时变性和唯一性,提出一种多相参处理间隔频响特征聚类的真、假目标无监督鉴别方法... 详细信息

现有真-假目标智能识别算法大多基于监督学习,且在低信噪比条件下表现不好。针对上述问题,该文分别利用真、假目标在多个相参处理间隔(CPIs)内散射特性的时变性和唯一性,提出一种多相参处理间隔频响特征聚类的真、假目标无监督鉴别方法。首先,在快-慢时域中沿快时间维度对真、假目标进行加窗截断,提取快-慢时间域频率响应特征用于构建初步样本集;然后,通过Agglomerative聚类和特征融合网络组成的两步识别算法对真-假目标进行识别;最后,提出一种多相参处理间隔联合决策方法提升识别性能和可靠性。经仿真和实测数据检验,证明了所提方法可实现真实目标和多种有源假目标的有效分离。

关键词：有源假目标多相参处理间隔散射特性快-慢时间域频率响应无监督 Agglomerative聚类