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调频连续波雷达自旋目标干涉三维成像方法
调频连续波雷达 自旋目标 微多普勒效应 干涉三维成像
2019/4/16
相比脉冲体制雷达，调频连续波雷达具有功耗低、成本低、重量轻等优点，发展前景广阔，同时雷达三维成像技术可为目标的分类识别提供重要的特征信息。但是自旋目标在调频连续波信号条件下会产生一维距离走动以及回波相位的改变，这对干涉三维成像产生了影响。针对自旋目标在线性调频连续波雷达中的干涉三维成像技术进行了研究，分析了自旋产生的回波调制效应与相位变化，结合分析所得的调制前后目标在距离 慢时间像上微动特征的变化...
量子雷达基于量子态特性对目标探测识别，可有效克服复杂电磁环境和目标隐身特性影响。针对光量子在大气中传播时易受介质吸收和散射影响的问题，提出利用分光链路模拟大气介质的方法，对目标量子雷达散射截面进行了研究。通过引入单光子波动方程，采用分光链路模拟大气介质，得到衰减条件下光子波函数，推导衰减条件下量子雷达散射截面公式，并对衰减条件下单曲面量子雷达散射截面进行仿真。仿真证明，在不同入射角条件下，量子雷达...
提出了一种基于平行因子分析的时空非均匀采样下双基地MIMO雷达收发角及多普勒频率联合估计算法。首先计算K级非均匀延迟器输出数据的协方差矩阵并对该矩阵进行变换和去冗余处理，然后将新数据转化为三阶张量并对其进行降维处理，最后通过交替最小二乘和Root MUSIC算法估计出目标收发角和多普勒频率。该算法实现了时域和空域孔径自由度的二次扩展，提高了参数估计精度，降低了运算量。此外，通过最小冗余配置，实...
为解决雷达对低空目标角度估计精度不高的问题，提出一种基于时间反转（TR）多输入多输出（MIMO）雷达的低空目标波达方向估计算法。该算法先利用TR技术的聚焦性能，获得回波信号矩阵；然后根据MIMO雷达波形的分集特性，推导出TR MIMO雷达的虚拟阵列形式；再通过行列复用，采用双向空间平滑(FBSS)算法解相干，有效地提高了低空目标的DOA估计精度。实验仿真结果表明：在信噪比为-10 dB的条件下，该...
基于超材料的雷达吸波材料研究进展
超材料 雷达吸波材料 宽带
2019/4/16
雷达吸波材料能够有效地抑制透射波和反射波，因而被广泛应用于隐身、电磁屏蔽和兼容以及无线通信等领域。受制于材料的电磁频散特性，传统吸波材料的宽带低频吸波性能难以进一步提高。近年来，随着超材料结构设计的不断发展，基于超材料构架设计实现的宽带电磁吸波，由于具有更加灵活的电磁调控能力，因而在其电磁性能提升方面具有更大拓展空间。围绕雷达吸波超材料的最新研究进展，结合电磁吸波超材料的发展背景、设计原理和性能表...
ROAD NETWORK MAPPING USING AIRBORNE LiDAR DATA
Road Airborne Laser Scanning (ALS) Intensity
2019/2/28
The accurate, detailed and up-to-date road information is highly essential geo-spatial databases for transportation, smart city and other related applications. Thus, the main objective of this researc...
GEOPHYSICAL PARAMETER RETRIEVAL FOR MICROWAVE C BAND SYNTHETIC APERTURE RADAR (SAR) DATASET USING INTEGRAL EQUATION MODEL
Microwave SAR Geophysical Parameters IEM Modelling
2019/2/28
The microwave remote sensing is highly useful, as it provides synoptic observation of the Earth’s surface or planetary bodies, regardless of day or night and the atmospheric conditions, propagation th...
RADAR CROSS SECTION CHARACTERIZATION OF CORNER REFLECTORS IN DIFFERENT FREQUENCY BANDS AND POLARIZATIONS
Corner Reflector Radar Cross Section Trihedral Dihedral Compact Antenna Test Range Facility Calibration
2019/2/28
Corner Reflectors (CR) are standard passive radar targets which offer one of the best solutions for SAR calibration. Radar Cross Section (RCS) of corner reflectors plays a vital role for estimation of...
ASSESSING THE CONDITION OF BURIED PIPE USING GROUND PENETRATING RADAR (GPR)
Ground Penetrating Radar (GPR) Pipe deterioration Buried utilities
2018/11/8
The invention of Ground Penetrating Radar (GPR) technology has facilitated the possibility of detecting buried utilities and has been used primarily in civil engineering for detecting structural defec...
ON VOLUME DATA REDUCTION FOR LIDAR DATASETS
LiDAR Redundancy Q-tree Big Data Problem Topography DTM
2018/11/9
This paper discusses a current issue for several experimental science disciplines, which is the Big Data Problem (BDP). This research study focused on light intensity and ranging (LiDAR) datasets, whi...
COMBINED VISUAL EXPLORATION OF 2D GROUND RADAR AND 3D POINT CLOUD DATA FOR ROAD ENVIRONMENTS
Ground Penetrating Radar 3D Point Cloud Infrastructure Maintenance
2018/11/9
Ground-penetrating 2D radar scans are captured in road environments for examination of pavement condition and below-ground variations such as lowerings and developing pot-holes. 3D point clouds captur...
北京地区大气温度及重力波活动的季节变化
激光雷达 大气温度 重力波 势能密度
2018/5/4
利用瑞利激光雷达观测数据，分析了北京地区35~70km高度范围内大气温度和重力波活动的季节变化.发现北京地区30~70km高度范围内的大气温度有明显的年周期变化：平流层顶最高温度出现在6，7月份，大约为270K；中间层70km高度最低温度也出现在6，7月份，大约为200K.以2014年10月14日晚数据为例，分析重力波势能密度，发现50km以下重力波势能存在耗散，而在50km以上重力波近乎无耗散地...
ABOVEGROUND BIOMASS ESTIMATION USING RECONSTRUCTED FEATURE OF AIRBORNE DISCRETE-RETURN LIDAR BY AUTO-ENCODER NEURAL NETWORK
Aboveground Biomass (AGB) Estimation Discrete-Return LiDAR Regression Auto-Encoder Neural Network
2018/5/14
Aboveground biomass (AGB) estimation is critical for quantifying carbon stocks and essential for evaluating carbon cycle. In recent years, airborne LiDAR shows its great ability for highly-precision A...
INFRARED ROTATION PLANE RADAR CHANGE DETECTION
Infrared Rotation Plane Radar Change Detection Depth Information Mixed Gaussian Background Modeling
2018/5/15
The existing change detection method mainly stays on the pixel-level, which is very susceptible to light, shadow, etc. And the complex calculation and analysis for each pixel reduce the detection effi...