利用脉组间频率步进信号合成UWB距离像及类MUSIC法对速度的高分辨估计(英文)

提出一种称为类多信号分类(CMUSIC)的方法,其利用脉组间频率步进信号,在具有M个脉冲的脉冲串(子带,即窄带)中高分辨估计径向速度。利用此速度估计值补偿距离-多普勒耦合和多普勒色散后,对跨子带进行快速傅里叶变换则可获得合成超宽带高分辨距离像。和其他方法相比,CMUSIC在低信噪比时具有较好的速度估计性能。当M大于具有不同径向速度的目标个数Q时,该方法在小M值下依然有优越的速度估计性能。此外,经过径向速度解模糊后,该方法适应高径向速度运动的目标。随着国防技术的突飞猛进地发展以及高速先进飞行器的涌现,这具有重要的实际价值。仿真结果验证了该方法的可行及有效性。     

GNSS多频观测对定姿精度的影响分析

针对单历元定姿的精度问题,对多频双差观测模型下的定姿精度进行了理论推导,分析了影响定姿精度的各种因素,并着重研究了GPS和Galileo系统下多频观测值对定姿精度的改善程度。理论分析和仿真实验均表明．相比于单频定姿,多频观测可以显著提高定姿精度。     

一种空间邻近目标红外多传感器立体分辨方法

空间邻近目标在红外像平面的成像因相互交叠而形成簇状像斑,对红外传感器的信号处理提出了分辨的要求。为实现对空间邻近目标的立体跟踪定位,提出基于量子粒子群优化的空间邻近目标红外多传感器立体分辨方法。在对目标像平面成像建模基础上,构建基于最小二乘准则的空间邻近目标立体分辨目标函数,针对目标函数的高维非线性特点,以QP-SO解决目标函数优化问题,估计目标空间位置。仿真结果表明:相比于传统的先单传感器像平面分辨后多传感器视线交叉定位方法,此法具有更优的目标位置估计精度、辐射强度估计精度和目标个数估计正确率。     

Aerial-BiSeNet: A real-time semantic segmentation network for high resolution aerial imagery

The aircraft system has recently gained its reputation as a reliable and efficient tool for sensing and parsing aerial scenes. However, accurate and fast semantic segmentation of high-resolution aerial images for remote sensing applications is still facing three challenges: the requirements for limited processing resources and low-latency operations based on aerial platforms, the balance between high accuracy and real-time efficiency for model performance, and the confusing objects with large intra-class variations and small inter-class differences in high-resolution aerial images. To address these issues, a lightweight and dual-path deep convolutional architecture, namely Aerial Bilateral Segmentation Network (Aerial-BiSeNet), is proposed to perform real-time segmentation on high-resolution aerial images with favorable accuracy. Specifically, inspired by the receptive field concept in human visual systems, Receptive Field Module (RFM) is proposed to encode rich multi-scale contextual information. Based on channel attention mechanism, two novel modules, called Feature Attention Module (FAM) and Channel Attention based Feature Fusion Module (CAFFM) respectively, are proposed to refine and combine features effectively to boost the model performance. Aerial-BiSeNet is evaluated on the Potsdam and Vaihingen datasets, where leading performance is reported compared with other state-of-the-art models, in terms of both accuracy and efficiency.     

宽带信号多通道干涉仪测向解模糊方法研究

针对基于子频带分解的宽带信号干涉法测向中通道间相位差的模糊问题,提出了一种简单的解模糊方法,该方法运算量小且正确解模糊对信噪比要求低。仿真结果表明了结论的正确性。     

基于CDMA蜂窝网的飞行器三维定位算法

针对中低空飞行器提出了一种将码分多址(CDMA)蜂窝网导频信号被动定位与惯性导航系统进行组合的导航定位方法。该定位方法是根据CDMA蜂窝网导频信号的到达时差（TDOA）进行两次加权最小二乘解算,并利用飞行器惯性组合的原始信息进行解模糊,从而实现中低空飞行器的三维实时定位。蒙特卡罗仿真证明：在高斯白噪声条件下,该算法运算速度快,精度高,其均方误差逼近克拉美罗下界（CRLB）,为组合导航实时性要求提供了理论参考。     

FY-3气象卫星中分辨率光谱成像仪结构仿真分析

用ANSYS软件仿真分析了风云三号（FY-3）气象卫星中分辨率光谱成像仪的结构。根据建立的成像仪有限元模型,进行了静力学、模态和谱分析,给出了X、Y、Z向加速度载荷下消旋机构的应力和变形、1-20阶模态频率,以及各向正弦振动谱作用下各部件的应力和变形。结果表明：有限元法与实验数据基本吻合,可用于成像仪设计的优化。     

High resolution science with high redshift galaxies

We summarize the high-resolution science that has been done on high redshift galaxies with Adaptive Optics (AO) on the world’s largest ground-based facilities and with the Hubble Space Telescope (HST). These facilities complement each other. Ground-based AO provides better light gathering power and in principle better resolution than HST, giving it the edge in high spatial resolution imaging and high resolution spectroscopy. HST produces higher quality, more stable PSF’s over larger field-of-views in a much darker sky-background than ground-based AO, and yields deeper wide-field images and low-resolution spectra than the ground. Faint galaxies have steadily decreasing sizes at fainter fluxes and higher redshifts, reflecting the hierarchical formation of galaxies over cosmic time. HST has imaged this process in great structural detail to z  6, and ground-based AO and spectroscopy has provided measurements of their masses and other physical properties with cosmic time. Last, we review how the 6.5 m James Webb Space Telescope (JWST) will measure First Light, reionization, and galaxy assembly in the near–mid-IR after 2013.     

基于全零点FIR前向滤波网络的超分辨成像方法研究

距离多普勒成像的距离分辨率和横向分辨率,分别取决于发射信号的有效带宽和目标相对于雷达在相干积累时间内的转角。采用的方法可以突破上述的限制,其方法是采用全零点FIR 前向滤波网络,在成像处理前进行线性预测滤波,仿真结果表明,这是一种改善距离多普勒成像雷达分辨率的有效方法。