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检索条件"机构=Beijing Key Laboratory of Embedded Real-Time Information Processing Technology"
576 条 记 录,以下是221-230 订阅
排序:
Performance Analysis of Sub-object Partition Method for Linear Formation Targets
Performance Analysis of Sub-object Partition Method for Line...
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IET International Radar Conference 2023, IRC 2023
作者: Xu, Li'ang Jiang, Qi Zhang, Jichuan Wang, Rui Hu, Cheng Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Advanced Technology Research Institute Beijing Institute of Technology Shandong Jinan China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China
The structure of bird formation is complex and variable. Traditional sub-object partition methods cannot match different types of linear formations, leading to a degradation of performance. Recently, a new sub-object ... 详细信息
来源: 评论
Analysis of Formation UAV Targets' Angular Glint Characteristics Using Phase Gradient Method
Analysis of Formation UAV Targets' Angular Glint Characteris...
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IET International Radar Conference 2023, IRC 2023
作者: Dou, Libin Jiang, Qi Zhang, Wenyuan Wang, Rui Hu, Cheng Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Advanced Technology Research Institute Beijing Institute of Technology Shandong Jinan China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China
Detection of group targets is of great significance to social and national security. Due to the large individual number, obvious fluctuations, and dense distribution of group targets, angular glint phenomena may occur... 详细信息
来源: 评论
Multi-channel RF signal acquisition system design based on AD9361
Multi-channel RF signal acquisition system design based on A...
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2019 IEEE International Conference on Signal, information and Data processing, ICSIDP 2019
作者: Wang, Ce Hu, Shanqing Li, Xingming Chen, Yingying Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology China Beijing Racobit Electronic Information Technology Co. Ltd China
The modern communication and radar systems has been faced with the constraint of size, weight and power (SWaP), and this also goes for their front-end acquisition systems. Currently, the AD9361 RF transceiver has been... 详细信息
来源: 评论
Complex forward scattering coefficient for signal characterisation
Complex forward scattering coefficient for signal characteri...
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IET International Radar Conference 2018, IRC 2018
作者: Chen, Jing Liu, Xiangrong Liu, Changjiang Dong, Xichao School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics 100076 China
In this study, modelling and characteristics analysis of forward scattering coefficients and echoes are investigated. Traditional ground-target forward scattering signal model has not considered the impact of scatteri... 详细信息
来源: 评论
FPGA-based fault injection design for 16K-point FFT processor
FPGA-based fault injection design for 16K-point FFT processo...
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IET International Radar Conference 2018, IRC 2018
作者: Mao, Chuang-An Xie, Yu Wei, Xin Xie, Yi-Zhuang Chen, He Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China
There are a number of satellites working in the harsh space environment. The charged particles in space may strike the electron devices causing the undesired influences, such as soft errors in memory devices or perman... 详细信息
来源: 评论
SAR Target Recognition Using Improved Monogenic-Based Feature Extraction Framework
SAR Target Recognition Using Improved Monogenic-Based Featur...
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2021 CIE International Conference on Radar, Radar 2021
作者: Li, Feng Yao, Weijun Li, Yang Chen, Wei Radar Research Laboratory School of Information and Electronics Beijing Institute of Technology Beijing Institute of Technology Chongqing Innovation Center Beijing China School of Information and Electronics Beijing Institute of Technology Beijing Key Laboratory of Embedded Real-time Information Processing Technology Radar Research Lab Beijing China
Applying computer vision methods to synthetic aperture radar (SAR) image recognition is a research trend in recent years, and a series of valuable results have been achieved. In order to use machine learning classifie... 详细信息
来源: 评论
A new region growing based method for ship detection in high-resolution SAR images
A new region growing based method for ship detection in high...
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IET International Radar Conference 2015
作者: Wang, Chonglei Li, Chen Bi, Fukun Chen, Liang Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China Institute of Remote Sensing Information Beijing100192 China School of Electronic Information Engineering North China University of Technology Beijing100144 China
High-resolution SAR are of great value in remote sensing nowadays. To make good use of the characteristics of high-resolution SAR images to detect targets, we present here a region growing method. First, we calculate ... 详细信息
来源: 评论
Parallel processing of sliding spotlight mode SAR imaging based on GPU
Parallel processing of sliding spotlight mode SAR imaging ba...
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IET International Radar Conference 2018, IRC 2018
作者: Gao, Zixin Wei, Chunpeng Yang, Chen Xie, Yizhuang Chen, He Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China
Sliding spotlight synthetic aperture radar (SAR) is a hot imaging mode in space-borne SAR. It can acquire high-resolution and large azimuth scene size simultaneously. The main challenges for sliding spotlight SAR proc... 详细信息
来源: 评论
Robust knowledge-aided sparse recovery STAP method for non-homogeneity clutter suppression
Robust knowledge-aided sparse recovery STAP method for non-h...
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IET International Radar Conference 2018, IRC 2018
作者: Peng, Hao Sun, Yuze Yang, Xiaopeng Yang, Jian Beijing China Department of Electronic Engineering Tsinghua University Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronic Beijing Institute of Technology Beijing China
Conventional space-time adaptive processing (STAP) methods would suffer severely performance loss in the complex clutter environment of an airborne-phased array radar, especially when the estimated clutter covariance ... 详细信息
来源: 评论
Multi-scale object detection by bottom-up feature pyramid network
Multi-scale object detection by bottom-up feature pyramid ne...
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IET International Radar Conference 2018, IRC 2018
作者: Boya, Zhao Baojun, Zhao Linbo, Tang Chen, Wu Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China
The deep neural networks has been developed fast and shown great successes in many significant fields, such as smart surveillance, self-driving and face recognition. The detection of the object with multi-scale and mu... 详细信息
来源: 评论