检索结果-内蒙古大学图书馆

9th International conference on Communications, signal processing, and Systems, CSPS 2020

作者： Wang, Feng Liu, Pengyuan Wei, Zhonglin Army Engineering University Shijiazhuang Campus Shijiazhuang Hebei China

ISBN: (纸本)9789811584107

The radar cross section is an important parameter to characterize radar target characteristics. The fluctuation of the data represents the size and shape of the target. Target RCS depends not only on radar frequency and polarization mode but also on the attitude of target relative to radar. Taking a cruise missile as the research object and combining with FEKO software simulation platform. Set the corresponding working frequency, working wavelength, material parameters, geometric parameters, excitation, etc., and then define the plane wave, and then conduct mesh generation to generate the calculation model. This paper established an efficient RCS characteristic calculation based on the high-frequency approximation method. The influence of configuration materials and incident wave parameters on RCS characteristics of cruise missile was studied and some significant results were obtained. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Radar cross section

来源：评论

学校读者我要写书评

暂无评论

Evaluation of Knowledge-Aided STAP Using Experimental data

Evaluation of Knowledge-Aided STAP Using Experimental Data

引用

IEEE conference on Aerospace

作者： Jameson S. Bergin David R. Kirk Guy Chaney Steven McNeil Peter A. Zulch Information Systems Laboratories Inc. Vienna VA USA Air Force Research Laboratory Rome NY USA

Recent advances in knowledge-aided space-time adaptive processing (KA-STAP) have resulted in significant performance improvements for ground moving target indication (GMTI) radar systems. In particular, the use of prior knowledge including terrain, clutter discretes, and previously detected targets has been shown to be effective for mitigating the poor performance often encountered when operating in heterogeneous clutter environments. This paper provides an evaluation of KA-STAP techniques based on extensive processing of experimental data. Two major performance issues are addressed: high false alarm rates due to under-nulled clutter discretes and target cancellation due to corruption of the STAP training data by other targets in the scene. Each of these problems is demonstrated using experimental multi-channel X-band radar data. Methods for using prior knowledge to improve performance are presented and processing results using the experimental data are provided that show how KA-STAP can lead to significantly improved detection performance relative to conventional STAP processing.

关键词： Clutter Radar signal processing Radar detection signal processing algorithms Radar tracking Training data Biomedical signal processing Filters Interference constraints Laboratories

来源：评论

学校读者我要写书评

暂无评论

Research on False Alarm Removal Method for Aircraft Target Detection under small Sample Conditions 4

Research on False Alarm Removal Method for Aircraft Target D...

引用

4th IEEE International conference on Image, Vision and Computing, ICIVC 2019

作者： Zeng, Qinghao Chen, Jinlong Yang, Minghao University of Electronic Technology Guangxi Key Laboratory of Trusted Software of Guilin Guilin541004 China University of Electronic Technology Guangxi Key Laboratory of Cryptography and Information Security of Guilin Guilin541004 China Chinese Academy of Sciences Key Laboratory of Pattern Recognition Institute of Automation Beijing100190 China

ISBN: (纸本)9781728123257

Aiming at the aircraft target in visible light remote sensing image, this paper proposes a false alarm removal method for target detection under small sample training conditions. First, use data enhancement methods for small sample data to increase the number of samples and improve the generalization ability of features. Then, according to the clear outline of the aircraft target and the obvious characteristics of the edge features, the Haar feature plus AdaBoost algorithm is used to preliminary detect the aircraft target. Finally, the convolutional neural network is used to extract the target features, and the preliminary detection results are classified to remove the false alarm targets and improve the accuracy of the detection. The experimental results show that the detection effect is good in aircraft target detection. © 2019 IEEE.

关键词： Errors

来源：评论

学校读者我要写书评

暂无评论

Near-Field BP Imaging Algorithm Based on Antenna Pattern Gain Compensation

Near-Field BP Imaging Algorithm Based on Antenna Pattern Gai...

引用

signal, Information and data processing (ICSIDP), IEEE International conference on

作者： Yuxin Miao Shichao Zhong Xiaopeng Yang Xiaolu Zeng Yue Zhang Lezong Li School of Information and Electronics Beijing Institute of Technology Beijing China Yangtze Delta Region Academy of Beijing Institute of Technology Jiaxing China

ISBN: (数字)9798331515669

ISBN: (纸本)9798331515676

Ultra-wideband MIMO radar can provide precise range and azimuth information of multiple targets and is widely applied in military, aviation, transportation, and other fields. However, the antenna radiates electromagnetic energy in a specific direction, and the coverage area in azimuth is limited. Compared with targets in the antenna’s main lobe, the large-angle targets outside the antenna’s main lobe scatter weaker radar echoes. Therefore, weak targets will be overshadowed by strong targets. This paper proposes a near-field BP algorithm based on antenna radiation patterns compensation. The antenna radiation pattern was measured in the anechoic chamber. Then, digital beamforming technology was utilized to construct a gain compensation matrix achieving radar data compensation from different directions. Experimental results showed that the proposed algorithm effectively enhanced the energy of large-angle targets in multi-target scenes.

关键词： Antenna measurements Azimuth Array signal processing MIMO radar Receiving antennas Imaging Radar Radar imaging Radar antennas Antenna radiation patterns

来源：评论

学校读者我要写书评

暂无评论

Dual-Level Contrast Enhancement Method for Infrared small Target Detection

Dual-Level Contrast Enhancement Method for Infrared Small Ta...

引用

signal, Information and data processing (ICSIDP), IEEE International conference on

作者： Haotian Sun Wenzheng Wang Yuhan Xu Qiuyu Jin Zipeng Zhang Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing China School of Information and Electronics Beijing Institute of Technology Beijing China

ISBN: (数字)9798331515669

ISBN: (纸本)9798331515676

In the field of target detection, infrared small target detection(ISTD) is a critical area of research, playing a vital role in reconnaissance, guidance, and early warning systems. Existing spatial Filtering algorithms perform well in clean backgrounds; however, as these filters require manual design based on prior knowledge, they are prone to interference from complex scenes (e.g., clouds, buildings), leading to target omission. small targets typically exhibit blurry features and weak energy, making direct detection susceptible to interference from high-intensity areas, which may result in missed detections. To tackle these challenges, this paper presents a two-tier contrast improvement method (DLCE). First, a gradient filter group is used to enhance the signal-to-noise ratio (SNR) of the target, and then, built upon the concept of local contrast measurement (LCM), a novel intensity calculation method is developed. The new contrast window design effectively enhances the target’s SNR. Compared with existing algorithms, like MPCM (Multi-Scale Patch-based Contrast Measurement) on publicly available datasets, the proposed method more effectively enhances the target’s radiative intensity while suppressing background noise. The effectiveness of the proposed algorithm is confirmed by the simulation results.

关键词： Filters Simulation Object detection Interference Reconnaissance Robustness Windows Noise measurement signal to noise ratio Visual perception

来源：评论

学校读者我要写书评

暂无评论

Impact of On-Orbit data Compression on signal-to-Noise Ratio for Dim Target Detection

Impact of On-Orbit Data Compression on Signal-to-Noise Ratio...

引用

IEEE Space Computing conference (SCC)

作者： Judith A. Brewer Jim Aarestad Andrew C. Pineda Jesse K. Mee University of New Mexico Albuquerque NM Space Vehicles Directorate Air Force Research Laboratory Kirtland AFB NM

Our capacity to transmit data off of a spacecraft to the ground station has not kept pace with rate of data generation from advanced sensors. One solution is to reduce the size of the data prior to transmission through advanced compression techniques. In this paper, software and hardware implementations of a novel data compression algorithm were used to compress overhead persistent infrared data with synthetic embedded dim targets. An image processing technique was subsequently applied to the decompressed data to recover the embedded targets within the image stack, and the signal-to-noise ratio of the detected targets were examined as a function of compression ratio. This paper examines the detection signal-to-noise ratio and relative speed-up for compression of 1200 frames of infrared data implemented in a general-purpose processor and a field-programmable gate array. The advantages of the FPGA implementation for processing efficiency were clearly shown, however, the reduced data precision had a negative impact on our ability to recover the dim target from the post compressed data.

关键词： Image coding Field programmable gate arrays signal to noise ratio Throughput Space vehicles Software

来源：评论

学校读者我要写书评

暂无评论

DETECTION OF GEOMETRICALLY KNOWN targets IN THROUGH-THE-WALL RADAR IMAGING

DETECTION OF GEOMETRICALLY KNOWN TARGETS IN THROUGH-THE-WALL...

引用

IEEE International conference on Acoustics, Speech and signal processing

作者： Christian Debes Abdelhak M. Zoubir Moeness G. Amin Signal Processing GroupTechnische Universitat DarmstadtDarmstadt Germany Center for Advanced CommunicationsVillanova UniversityVillanova PA USA

ISBN: (纸本)9781457705380

We consider the problem of detecting targets behind walls using radar imaging technology. An image-domain based detection technique is proposed that allows to adapt to specific targets of interest. By doing so, clutter as well as targets of no-interest are strongly reduced in the radar image. The proposed detector is automatic in the sense that no or only little prior knowledge on the image statistics is required. The detection procedure is detailed, including the choice of suitable optimality criteria. The evaluation of the proposed technique is performed using data collected from Through-the-Wall radar imaging experiments whereby we specifically consider on the detection of humans.

关键词： Detection Through-the-wall Radar imaging targets Radar imaging Imaging clutter wall Radar images AUTOMATIC indium

来源：评论

学校读者我要写书评

暂无评论

signal selective DOA tracking for multiple moving targets

Signal selective DOA tracking for multiple moving targets

引用

International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： J. Riba J. Goldberg G. Vazquez M.A. Lagunas Department of Signal Theory and Communications E.T.S.E. Telecomunicació Campus Nord UPC Barcelona Spain

A new algorithm for signal selective tracking of the directions-of-arrival (DOAs) of multiple moving targets with an array of passive sensors is presented. A new method based on the principles of maximum likelihood estimation and cyclostationarity is used to generate initial angle estimates which, in turn, are refined by a Kalman filter. Source angle dynamics are used to achieve correct data association. High performance is obtained with relatively low computational complexity.

关键词： Target tracking Sensor arrays Direction of arrival estimation Interference Telecommunications Maximum likelihood estimation Computational complexity Additive noise Additive white noise Contracts

来源：评论

学校读者我要写书评

暂无评论

A Novel Range Super-Resolution Algorithm for UAV Swarm Target Based on LFMCW Radar 8th

A Novel Range Super-Resolution Algorithm for UAV Swarm Targe...

引用

8th International conference on Communications, signal processing, and Systems, CSPS 2019

作者： Yang, Tianyuan Su, Tao Zheng, Jibin National Laboratory of Radar Signal Processing Xidian University Xi’an710071 China

ISBN: (纸本)9789811394089

We consider the problem of estimating range about unmanned aerial vehicle (UAV) swarm target. The main challenges are small radar cross-section (RCS) and high target density. In this paper, for better accumulation, we focus the original beat signal by Focus-Before-Detect (FBD) and obtain the velocity. Based on the velocity, we form a compensation matrix to eliminate the range migration (RM). Then, a novel range super-resolution algorithm based on the gridless sparse method is implemented that improves the range resolution to a great extent. Experimental results based on simulated and real measured data are carried out to demonstrate the accuracy of the model and the effectiveness of the algorithm. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Antennas

来源：评论

学校读者我要写书评

暂无评论

单点高密度地震数据处理分析与初步评价

引用

石油地球物理勘探 2010年第2期45卷 201-207页

作者：张永刚王赟尹军杰中国石油化工股份公司科技开发部北京100728 中国科学院地质与地球物理研究所北京100029 中联煤层气国家工程研究中心北京100011

文中结合数值模拟和实测数据,从分辨率、信噪比和数据处理的角度剖析了单点高密度地震数据与常规地震数据的区别,通过剖析数据处理流程各阶段的特点,对单点高密度地震数据的处理特点进行了总结,阐述了单点高密度地震数据的计算效率。认... 详细信息

文中结合数值模拟和实测数据,从分辨率、信噪比和数据处理的角度剖析了单点高密度地震数据与常规地震数据的区别,通过剖析数据处理流程各阶段的特点,对单点高密度地震数据的处理特点进行了总结,阐述了单点高密度地震数据的计算效率。认为对于单点高密度地震资料处理,需要根据小空间采样间隔、高保真、低/无假频、宽频带、低信噪比等特点选择合适的处理模块,并得出以下认识:①单点高密度采集有利于实现全波场的无假频采样,提高频带宽度,为实现无假频去噪和有效信号的高保真处理奠定基础,有利于提高复杂构造、大倾角构造和小尺度勘探目标的成像精度;②野外或室内组合法都可以有效压制面波和随机噪声,但室内组合优于野外组合,能保持更宽的频带,且使用灵活;③单点高密度数据使得现有处理软件去噪模块的去噪效果更好。

关键词：单点高密度组合面波偏移数据处理计算效率

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：