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| 1 | 双基地前向散射雷达探测与成像显示文摘前向散射雷达(Forward Scatter Radar,FSR)作为一种特殊的双基地雷达,可以利用目标在穿越收发机之间基线的运动而形成的前向散射信号进行探测、成像与识别。由于前向散射效应对提高目标雷达截面积具有重要意义,因此,前向散射雷达在反隐身探测方面具有显著的优势。文章首先综述了前向散射雷达截面积、前向散射雷达目标探测及阴影逆合成孔径雷达(Shadow Inverse Synthetic Aperture Radar,SISAR)成像的国内外研究现状,重点分析了前向散射杂波的统计特性、高精度参数估计与多目标分辨等关键难题;在此基础上详细介绍了前向散射雷达探测和SISAR成像研究的最新理论和实验进展,首次给出了基于北斗导航卫星的民航客机前向散射探测实验结果;最后,对前向散射雷达探测和成像的研究前景和发展趋势进行了展望,为隐身目标的探测与识别研究提供一种新的技术手段。 | 胡程 刘长江 曾涛 | 2016 | 雷达学报(中英文)2016，5，3： | 11 |
| 2 | 一种基于前向散射雷达的车辆目标自动识别方法显示文摘研究了一种基于前向散射雷达的车辆目标自动识别方法:分析了前向散射雷达回波与目标速度、轮廓等目标特性之间的关系;提出了主瓣对齐的功率谱预处理方法,采用主成分分析方法分析了不同类别车辆的前向散射雷达功率谱的特性;提出了基于多元线性回归的目标特征提取方法,比较了K最近邻法和Bayes分类器对不同特征集的识别性能.实现结果表明,本文采用的特征提取方法显著改善了识别效果. | 陈新亮 胡程 曾涛 | 2012 | 中国科学:信息科学2012，42，11： | 7 |
| 3 | 双基地前向散射雷达杂波分析与模拟方法显示文摘雷达杂波的统计特性研究与仿真模拟对雷达系统的设计、仿真、开发有重要意义。文中通过对前向散射雷达地表植被杂波实测数据的处理,观察到前向散射雷达杂波的幅度分布特性可根据风速和动态范围的不同分别采用K分布和对数正态分布拟合;同时杂波数据的谱分析结果表明可以采用全极点模型对前向散射雷达杂波建模。基于对杂波统计特性的分析,文中给出了一种SIRP法和ZMNL法相结合的前向散射雷达杂波模拟方法,模拟得到的杂波与实测杂波数据在统计特性上相一致,证实了模拟方法的有效性。 | 胡程 刘长江 曾涛 周超 | 2013 | 信号处理2013，29，3： | 7 |
| 4 | An accurate SISAR imaging method of ground moving target in forward scatter radar显示文摘In order to accurately extract the profile image of the ground moving targets(GMT) in the forward scatter radar(FSR),a forward scatter signal model of GMT is built based on the Fresnel-Kirchhoff diffraction formula,the multipath propagation model and the high order phase approximation method.The classical shadow inverse synthetic aperture radar(SISAR) imaging algorithm is modified using the proposed signal model.In the modified imaging algorithm,the impacts of ground reflection,non-linear variation of target Doppler frequency and the target motion direction on imaging accuracy are discussed.Meanwhile,non-linear and time-dependent parameters are used to compensate for the motion phase of the GMT forward scatter signal,and a novel estimation method of the height difference and median line height of the target profile is put forward under the multipath interference.Finally,both the accuracy of the proposed signal model and the effectiveness of the modified imaging algorithm are validated by the simulation results. | HU Cheng LI XiaoLiang LONG Teng ZHOU Chao | 2012 | Science China(Information Sciences)2012，55，10： | 3 |
| 5 | Scattering simulation and reconstruction of a 3D complex target above an underlying surface using SIMO radar with plane array显示文摘A SIMO(single input and multiple output) system of a step-frequency(SF) radar is used.It works in downward-looking spotlight mode and moves within a 2D synthetic plane array.A 3D(three-dimensional) matrix of bistatic scattering fields is produced in both the amplitude and phase from a 3D complex-shaped electric-large target above background surface.In numerical simulation,the bidirectional analytic ray tracing(BART) method is applied to calculate bistatic scattering in the SIMO observations from a volumetric target above background rough surface.An improved 3D RMA(range migration algorithm) is then utilized to make the imaging.Its 3D imaging is applied to reconstruct the target profile.As validation and comparison,the scattering fields of some simple targets are computed with comparisons of the BART and FEKO software.The SIMO techniques of imaging and reconstruction for a 3D target,such as a tank-like model over rough surface,are presented. | LI Wei JIN YaQiu | 2012 | Science China(Technological Sciences)2012，55，10： | 2 |
| 6 | 一种精确的前向散射雷达三维目标跟踪方法显示文摘针对一般测量精度下初始状态估计误差大,导致滤波易发散的问题,提出了一种基于解析推导和Leven-berg-Marquardt算法的初始状态估计方法,能够在目标参数测量精度不高的情况下获得比较精确的初始值;针对滤波过程计算量太大、收敛速度慢的问题,结合精确的初始状态估计值和扩展卡尔曼滤波(EKF)实现了前向散射雷达三维目标的精确跟踪.通过仿真和比较分析表明,EKF算法跟踪精度高,收敛速度快,且计算量小. | 胡程 孙鹭怡 曾涛 周超 | 2012 | 北京理工大学学报2012，32，9： | 1 |
| 7 | 前向散射阴影逆合成孔径雷达成像误差分析显示文摘阴影逆合成孔径雷达(SISAR)成像算法可以从前向散射雷达(FSR)目标回波中提取目标侧影轮廓像,其成像精度由目标的运动轨迹跟踪精度决定。该文基于小衍射角前向散射信号模型,解析推导了SISAR成像误差与目标运动轨迹跟踪误差的关系;分析了跟踪误差对目标侧影轮廓高度差和中线成像结果的影响,给出了对跟踪精度的定量要求。通过大量仿真验证了分析的正确性。 | 胡程 周超 | 2013 | 电子与信息学报2013，35，5： | 1 |
| 8 | 双基地雷达前向散射地表杂波统计特性分析显示文摘本文通过对杂波实测数据的处理,利用高斯分布模型、指数分布模型、幂指数分布模型及高阶AR等分布模型,得到了双基地雷达前向散射地表杂波概率分布和功率谱分布的数学模型;并从统计理论上解析地推导了杂波统计模型对目标检测性能的影响.基于估计的概率分布、功率谱分布数学模型及广义匹配滤波理论,实现了前向散射地表杂波的有效抑制与目标运动参数的精确估计,并利用实测数据进行了验证. | 胡程 龙腾 曾涛 | 2011 | 中国科学:信息科学2011，41，8： | 1 |
| 9 | 短基线前向散射雷达系统运动目标分辨率分析显示文摘针对短基线前向散射雷达系统特性,基于阴影逆合成孔径原理和模糊函数,分别推导了系统沿基线方向和垂直基线方向运动目标的分辨率,解析得到了系统分辨率计算公式;发现垂直基线方向分辨率正比于波长,并首次验证了前向散射雷达沿基线方向分辨目标的可能性;最后利用实测数据验证了沿基线方向和垂直基线方向分辨率分析的正确性. | 胡程 龙腾 | 2013 | 中国科学:信息科学2013，43，9： | 1 |
| 10 | 机载MIMO雷达杂波建模与特性分析显示文摘针对不同环境条件下的机载MIMO雷达地杂波建模问题,综合考虑了杂波幅度分布模型、杂波单元散射模型以及雷达系统参数模型,提出了一种基于复合模型的杂波建模方法;之后又进一步考虑阵元误差、通道误差和杂波起伏等非理想因素,建立了一种非理想条件下的机载MIMO雷达杂波统一模型;通过改变模型参数对各种杂波的幅度、后向散射系数、各种误差条件的空时二维似然谱和特征谱进行仿真实验。仿真结果表明,理想条件下机载MIMO雷达杂波谱具有良好的斜空时二维特性,但在非理想条件下杂波起伏剧烈,并且不同地貌环境起伏程度差别较大。 | 郝琳 张永顺 李哲 许洁 | 2015 | 电光与控制2015，22，2： | 0 |
| 11 | Improvement in detection with forward scattering radar显示文摘Forward scattering radar (FSR) has advantages over traditional monostatic radar such as an enhanced radar cross section. Enhancement of the radar cross section can increase the detection range of the FSR system. This feature has renewed interest in FSR. The latest development of the FSR system for ground application does not consider a rough environment and there is no advanced signal processing technique for the detection procedure, which have delayed the deployment of FSR. Therefore, this paper analyzes a signal pro- cessing technique that extracts the Doppler signal scattered from a moving target under the influence of ground clutter, receiver noise and surrounding noise. The scattered Doppler signal is processed for target detection. Two methods, namely the use of the Hilbert transform and wavelet technique, are evaluated. Results show that target detection using a Hilbert transform is applicable only for certain conditions but target detection employing the wavelet technique is more robust against clutter and noise. An inclusive comparison of various wavelet threshold selection rules for different types of wavelet filters and levels of decomposition is conducted to study the effect on target detection with FSR. Two sets of field experiments were carried out to validate the proposed method, and target signals under the influence of large clutter were successfully detected using the proposed method with a confidence level exceeding 75%. | RAJA ABDULLAH Raja Syamsul Azmir RASID Mohd Fadlee A MOHAMED M Khalafa | 2011 | Science China(Information Sciences)2011，54，12： | 0 |
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