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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

Three-dimensional analysis of relationship between relative orientation and motion modes

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Chinese Journal of Aeronautics 2014年第6期27卷 1495-1504页

作者： Fan Shijie Fan Hongqi xiao huaitie Fan Jianpeng Fu Qiang ATR Key Laboratory National University of Defense Technology College of Electronic Science and Engineering National University of Defense Technology

Target motion modes have a close relationship with the relative orientation of missile-totarget in three-dimensional highly maneuvering target interception. From the perspective of relationship between the sensor coordinate system and the target body coordinate system, a basic model of sensor is stated and the definition of relative angular velocity between the two coordinate systems is introduced firstly. Then, the three-dimensional analytic expressions of relative angular velocity for different motion modes are derived and simplified by analyzing the influences of target centroid motion, rotation around centroid and relative motion. Finally, the relationships of the relative angular velocity directions and values with motion modes are discussed. Simulation results validate the rationality of the theoretical analysis. It is demonstrated that there are significant differences of the relative orientation in different motion modes which include luxuriant information about motion modes. The conclusions are significant for the research of motion mode identification,maneuver detection, maneuvering target tracking and interception using target signatures.

关键词： Attitude analysis Coordinate system Motion mode Relative angular velocity Sensor Terminal guidance

Observability analysis of feature aided terminal guidance systems

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Journal of Systems Engineering and Electronics 2015年第1期26卷 127-133页

作者： Shijie Fan Hongqi Fan huaitie xiao Jianpeng Fan Qiang Fu National Key Laboratory of Automatic Target Recognition National University of Defense Technology College of Electronic Science and Engineering National University of Defense Technology

Feature aided design of estimators and guidance laws can significantly improve the interception performance of the terminal guidance system. The achieved enhancement can be effectively assessed by observability analysis methods. This paper first analyzes and discusses the existing assessment methods in a typical endgame scenario with target orientation observations. To get over their deficiencies, a novel singular value decomposition（SVD） method is proposed. Employing both theoretical analysis and numerical simulation, the proposed method can represent the degree of state observability which is enhanced by integrating target features more completely and quantitatively.

关键词： terminal guidance feature aided observability singular value orientation observation

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量子雷达及其目标探测性能综述

国防科技大学学报 2014年第6期36卷 140-145页

作者：肖怀铁刘康范红旗国防科技大学ATR国家重点实验室湖南长沙410073

量子技术与传统技术相结合以提升经典系统性能是近年来电子信息、计算机技术等众多科学领域研究热点。由于隐身和电子对抗技术的进步和日益成熟,雷达作为一类典型的电子信息系统,其目标探测受到了越来越多的挑战。从雷达目标探测角度出... 详细信息

量子技术与传统技术相结合以提升经典系统性能是近年来电子信息、计算机技术等众多科学领域研究热点。由于隐身和电子对抗技术的进步和日益成熟,雷达作为一类典型的电子信息系统,其目标探测受到了越来越多的挑战。从雷达目标探测角度出发,介绍了量子雷达的基本概念与分类、若干实现模型,重点剖析、归纳了量子纠缠等量子效应增强雷达目标探测性能的物理机理与研究现状,指出了量子雷达研究和实现中的关键技术与研究方向。

关键词：量子雷达雷达目标探测量子纠缠量子检测与估计

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一种波束内目标与诱饵DOA联合估计新方法

国防科技大学学报 2012年第5期34卷 96-101页

作者：宋志勇肖怀铁付强卢再奇国防科技大学ATR重点实验室湖南长沙410073

拖曳式诱饵干扰下目标和诱饵DOA参数的准确估计是导引头实现目标分选的前提条件。波束内目标和诱饵的存在引起雷达回波混叠和观测耦合,导致常规观测提取与参数测量方法失效。通过挖掘雷达接收回波和、差通道信号条件概率分布协方差所包... 详细信息

拖曳式诱饵干扰下目标和诱饵DOA参数的准确估计是导引头实现目标分选的前提条件。波束内目标和诱饵的存在引起雷达回波混叠和观测耦合,导致常规观测提取与参数测量方法失效。通过挖掘雷达接收回波和、差通道信号条件概率分布协方差所包含的未知参数信息,获得了目标和诱饵DOA估计的解析表达式,针对估计求解中所需相对功率比未知的情况,提出了基于干扰检测、雷达测量与目标跟踪信息辅助循环估计相对功率比的DOA二次联合估计方法。不同干扰条件的仿真实验验证了估计方法的有效性。

关键词：拖曳式诱饵 DOA估计最大似然解联合参数估计末制导

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基于扩展单脉冲比的拖曳式诱饵存在性检测

航空学报 2011年第9期32卷 1656-1668页

作者：宋志勇肖怀铁祝依龙卢再奇国防科学技术大学ATR重点实验室湖南长沙410073

诱饵的存在性检测是对抗拖曳式有源雷达诱饵干扰的前提,也是决定抗干扰效果的重要因素。当导引头雷达发射多个不同频率的脉冲信号时,在一定的检测处理时长内目标回波信号幅度服从瑞利分布,而诱饵干扰信号则是幅度固定的。基于导引头雷... 详细信息

诱饵的存在性检测是对抗拖曳式有源雷达诱饵干扰的前提,也是决定抗干扰效果的重要因素。当导引头雷达发射多个不同频率的脉冲信号时,在一定的检测处理时长内目标回波信号幅度服从瑞利分布,而诱饵干扰信号则是幅度固定的。基于导引头雷达波束内诱饵存在导致的回波特征变化,通过提取诱饵存在/不存在两种情况下雷达接收回波信号的幅度特征差异以及对应单脉冲比特性变化,推导了两种假设条件下比幅测角扩展单脉冲比的条件概率密度函数,并在此基础上提出了采用Neyman-Pearson准则的广义最大似然比(GLRT)诱饵存在性检测方法以及干扰检测处理流程。不同干扰场景和条件下的仿真实验验证了该检测方法的有效性,能够满足拖曳式诱饵干扰对抗的需求。

关键词：拖曳式有源雷达诱饵电子对抗信号检测扩展单脉冲比广义最大似然比

密集假信号存在下单脉冲雷达未分辨目标DOA估计

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系统工程与电子技术 2023年第9期45卷 2727-2734页

作者：黄倩兰蔡飞范红旗肖怀铁国防科技大学电子科学学院湖南长沙410073 湖南师范大学信息科学与工程学院湖南长沙410081

单脉冲雷达未分辨目标波达方向(direction of arrival,DOA)估计是跟踪雷达抗干扰领域的一个难点问题,现有方法通常假定干信比已知,限制了其在实际雷达系统中的应用。针对密集假信号存在下的单脉冲雷达未分辨目标DOA估计问题,提出了一种... 详细信息

单脉冲雷达未分辨目标波达方向(direction of arrival,DOA)估计是跟踪雷达抗干扰领域的一个难点问题,现有方法通常假定干信比已知,限制了其在实际雷达系统中的应用。针对密集假信号存在下的单脉冲雷达未分辨目标DOA估计问题,提出了一种无需干信比先验信息的未分辨目标DOA估计方法。首先通过对密集假信号聚类估计出诱饵DOA,然后推导了以诱饵DOA为参数的目标DOA估计解析表达式。仿真结果表明,所提算法能在密集假信号干扰下准确估计干扰和目标DOA。

关键词：未分辨目标密集假信号波达方向估计单脉冲雷达

Narrowband imaging method for spatial precession cone-shaped targets

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Science China(Technological Sciences) 2010年第4期53卷 942-949页

作者： DING xiaoFeng1,FAN MeiMei1,WEI XiZhang1,LI Xiang1 & xiao huaitie2 1 Institute of Space Electronics Information Technology,National University of Defense Technology,Changsha 410073,China 2 School of Electronic Science and Engineering,National University of Defense Technology,Changsha 410073,China 1. Institute of Space Electronics Information Technology National University of Defense Technology Changsha 410073 China2. School of Electronic Science and Engineering National University of Defense Technology Changsha 410073 China

The imaging method of the mid-course missile is the key technique of the missile defense *** of the special precession character of the ballistic missile warhead,the inverse synthetic aperture radar method cannot realize phase compensation with the constant phase offset function,which leads to blurring of the *** this paper,we propose a new narrowband radar imaging method for the precession cone-shaped *** method acquires the Doppler modulation of the precession target's scattering centers with high resolution time-frequency analysis method and extracts the Doppler parameter from the result of the time-frequency analysis with the general Radon transform,then reconstructs the scattering centers positions in the parameter *** experiment results with the anechoic chamber data of the representative cone-shaped object showed the effectiveness of the method.

关键词： narrowband radar imaging time-frequency analysis general Radon transform

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一种新的模糊支持矢量机多目标识别方法

信号处理 2005年第Z1期21卷 366-369页

作者：肖怀铁郭雷付强国防科技大学电子科学与工程学院ATR实验室湖南长沙410073 国防科技大学电子科学与工程学院ATR实验室湖南长沙410073 国防科技大学电子科学与工程学院ATR实验室湖南长沙410073

本文主要研究基于支持矢量机(SVM)的多目标识别方法.首先介绍了基于SVM的OAA和OAO多目标识别算法,针对OAA和OAO算法存在的误判问题,基于SVM决策函数建立了样本模糊隶属度函数,对OAA和OAO算法进行了改进,提出了一种新的模糊支持矢量机多... 详细信息

本文主要研究基于支持矢量机(SVM)的多目标识别方法.首先介绍了基于SVM的OAA和OAO多目标识别算法,针对OAA和OAO算法存在的误判问题,基于SVM决策函数建立了样本模糊隶属度函数,对OAA和OAO算法进行了改进,提出了一种新的模糊支持矢量机多目标识别方法.仿真实验结果表明,该方法能够有效提高识别性能.

关键词：支持矢量机目标识别模糊隶属度函数