检索结果-内蒙古大学图书馆

A First-Order Generalized Pseudo-Bayesian Method Based on Moving Horizon Estimation for Surrounding Vehicle States Estimation in Complex Environments

SSRN

引用

SSRN 2022年

作者： Lu, Haikuan Wang, Ping Fu, Xiuwei Chen, Hong Hu, Yunfeng State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130022 China The Department of Control Science and Engineering School of Communication Engineering Jilin University Changchun130025 China College of Electronics and Information Engineering Tongji University Shanghai201804 China College of Information and Control Engineering Jilin Institute of Chemical Technology Jilin132022 China

Predicting the motion of surrounding vehicles is important for autonomous vehicle trajectory *** ensure the accuracy of motion prediction, it is particularly important to obtain information about the state of surrounding vehicles. For this purpose, a first-order generalized pseudo-Bayesian method based on moving horizon estimation (GPB1-MHE) is proposed in this paper. First, for vehicles, pedestrians and obstacles in complex environments, we design several different intention-based motion models to describe multiple maneuvers of vehicles during driving. Second, we replace the Kalman filter (KF) in the first-order generalized pseudo-Bayesian (GPB1) method with moving horizon estimation (MHE) to obtain GPB1-MHE. Compared with GPB1, it makes full use of the historical state information of a vehicle to improve the estimation accuracy. Finally, the effectiveness of the estimation method is verified using four operating conditions, overtaking, overtaken, pedestrian approaching, and pedestrian staying away, in a SCANeR studio and Simulink joint simulation environment. © 2022, The Authors. All rights reserved.

关键词： Bayesian networks

来源：评论

学校读者我要写书评

暂无评论

A Study on PN Code Phase and Carrier Frequency Fast Estimation technology for DSSS Signal 6th

A Study on PN Code Phase and Carrier Frequency Fast Estimati...

引用

6th International Conference on Artificial Intelligence and security,ICAIS 2020

作者： Qi, Jianzhong Song, Qingping School of Information Science and Technology North China University of Technology Beijing100144 China School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China Science and Technology on Information Systems Engineering Laboratory Beijing Institute of Control and Electronic Technology Beijing100038 China

ISBN: (纸本)9789811580857

This paper mainly discusses the method of fast and accurate estimation of carrier frequency and pseudo code phase for burst short pulse DSSS communication signal. In this algorithm, PMF + FFT is used to acquisition the signal and estimate the coarse value of carrier frequency and pseudo code phase. Then LM algorithm is used to solve the maximum likelihood function of the signal, so as to obtain the accurate estimation of carrier Doppler frequency and pseudo code delay. Using this algorithm, the carrier frequency and pseudo code phase can be estimated accurately in a pseudo code period. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Maximum likelihood estimation

来源：评论

学校读者我要写书评

暂无评论

An Algorithm for Detecting Ice Cloud at Different Altitudes by Combining Dual CrIS Full Spectrum Resolution CO2 Channels

引用

Journal of Tropical Meteorology 2020年第3期26卷 300-310页

作者： WANG Li-wen ZHENG You-fei TIAN Miao XU Jing-xin Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration Nanjing University of Information Science&TechnologyNanjing 210044 China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science&TechnologyNanjing 210044China Information Engineering Department School of Information and Communication EngineeringUniversity of Electronic Science and Technology of ChinaChengdu 611731 China State Environmental Protection Key Laboratory of Atmospheric Physical Modeling and Pollution Control State Power Environmental Protection Research InstituteNanjing 210031 China

Using infrared sensors to detect ice clouds in different atmospheric layers is still a *** different scattering and absorption properties of longwave and shortwave infrared channels can be utilized to fulfill this *** this study,the release of Suomi-NPP Cross-track Infrared Sounder(Cr IS)full spectrum resolution is used to select and pair channels from longwave(~15μm)and shortwave(~4.3μm)CO2 absorption bands under stricter conditions,so as to better detect ice ***,the differences of the weighting function peaks and cloud insensitive level altitudes of the paired channels are both within 50 h Pa so that the variances due to atmospheric conditions can be *** training data of clear sky are determined by Visible Infrared Imaging Radiometer Suite(VIIRS)cloud mask product and used to find the linear relationship between the paired longwave and shortwave CO2 absorption *** the linear relationship,the so-called cloud emission and scattering index(CESI)is derived to detect ice *** clearly captures the center and the ice cloud features of the Super Typhoon Hato located above 415 h ***,the CESI distributions agree with cloud top pressure from the VIIRS in both daytime and nighttime in different atmospheric layers.

关键词： Cross-track Infrared Sounder Full Spectral Resolution(CrIS FSR) ice cloud detection dual CO2 absorption bands

来源：评论

学校读者我要写书评

暂无评论

Analysis of the Dynamic Changes in Etizolam and its Metabolites and Exploration of its Development Prospects Using Uplc-Q-Exactive-Ms

SSRN

引用

SSRN 2023年

作者： Jie, Zhaowei Qin, Shiyang Liu, Fubang Xu, Duoqi Sun, Jing Zhang, Wenfang Gao, Chunfang Lu, Jianghai Qin, Ge Hou, Xiaolong Xu, Peng School of Investigation People’s Public Security University of China Beijing100038 China Forensic Science Service of Beijing Public Security Bureau Key Laboratory of Forensic Toxicology Ministry of Public Security Beijing100192 China Shanghai Key Laboratory of Forensic Medicine Scientific Research Institute of Forensic Expertise Shanghai200063 China Drug and Food Anti-doping Laboratory China Anti-Doping Agency 1st Anding Road Chaoyang District Beijing100029 China Key Laboratory of Drug Monitoring Control and Anti Drug Key Technologies The Ministry of Public Security Anti Drug Information Technology Center Beijing100193 China

As one of the most widely abused designer benzodiazepines in the world, etizolam has been identified in many post-mortem and ante-mortem case reports across the world. In this study, for the first time, we used UPLC-Q-Exactive-MS to establish a dynamic change model of etizolam and its metabolites in rats. The detection sensitivity and reproducibility of the experiment improved significantly compared to those reported in previous studies, and the traditional pharmacokinetic model based on the Gauss function was fully optimized. According to the significant difference of etizolam in the plasma elimination stage of rats, a new pharmacokinetic model based on the Lorentz function was first established to describe the dynamic changes in etizolam more rigorously, reduce the error effects, and improve the accuracy of the pharmacokinetic parameters. In parallel, the pharmacokinetic parameters of etizolam were compared to those of four other designer benzodiazepines reported in previous studies in rats. We identified the direct reason for the popularity of etizolam in the new psychoactive substance (NPS) market and explored the development prospect of etizolam for the first time. Additionally, using rat experiments, we found 21 metabolites that can be used to effectively detect long-term etizolam abuse;among these, four metabolites with the longest detection window could be used as long-term metabolites for experiments to prolong the detection window and extend the time range in which etizolam is detected in real cases. To our knowledge, this study is the first to conduct a systematic and comprehensive evaluation of the metabolism and pharmacokinetics of etizolam and determine the reason for the high prevalence of etizolam abuse. Additionally, we discuss the development trend of etizolam in the future market of new psychoactive substances, which could be beneficial for forensic experts to assess the trend of drug abuse and can provide a reference for relevant drug control and

关键词： Pharmacokinetics

来源：评论

学校读者我要写书评

暂无评论

Research on Pseudo Code Ranging technology Using Burst DSSS Signal 6th

Research on Pseudo Code Ranging Technology Using Burst DSSS ...

引用

6th International Conference on Artificial Intelligence and security,ICAIS 2020

ISBN: (纸本)9789811580857

In this paper, a method of ranging high-speed aircraft by using the burst DSSS communication pulse is analyzed. In this algorithm, noncoherent PN code is used for ranging and coherent forwarding is used for carrier. In order to eliminate the error caused by the rapid movement of the aircraft, the relative velocity between the objects is measured and the ranging error is corrected. How to estimate the carrier frequency and pseudo code phase in the burst short pulse spread spectrum communication is discussed. Firstly, PMF + FFT is used to capture the signal and estimate the initial value of carrier frequency and pseudo code phase, then LM algorithm is used to solve the maximum likelihood function, so as to obtain the accurate value of carrier frequency and pseudo code delay. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Spectroscopy

来源：评论

学校读者我要写书评

暂无评论

Robust Multiple-Structure Geometric Model Fitting by Preserving Neighborhood Consistency

SSRN

引用

SSRN 2023年

作者： Guo, Hanlin Xiao, Guobao Yan, Yan Lin, Shuyuan Wang, Hanzi Fujian Key Laboratory of Sensing and Computing for Smart City School of Informatics Xiamen University Xiamen361005 China School of Electrical Engineering and Automation Xiamen University of Technology Xiamen361005 China College of Computer and Control Engineering Minjiang University Fuzhou350108 China College of Information Science and Technology College of Cyber Security Jinan University Guangzhou510632 China

Geometric model fitting has been widely used in various computer vision applications. However, it remains a challenging task when handling the data that contains multiple model instances (i.e, structures) and a large number of false matches (i.e., outliers) between image pairs. In this paper, we propose a novel Neighborhood-Consistency-based Multiple-structure Fitting method (NCMF) to robustly estimate multiple model instances from the data with outliers, by preserving the neighborhood relationships of potential inliers. Specifically, we first propose a neighborhood consistency preservation algorithm, which explores both the motion pattern consistency and residual pattern consistency of input data, to alleviate the sensitivity to outliers. Consequently, we can produce the significant neighborhood set for each of input data and the reliable neighborhood relationships for data clustering. Then, we propose a robust neighborhoodconsistency-based clustering algorithm by an agglomerative clustering procedure, to effectively distinguish the inliers belonging to different model instances from outliers. In addition, we propose a neighborhood-relationship-based measurement function for data similarity to further make the clustering phase robust to outliers. Overall, NCMF is able to effectively estimate the number and the parameters of model instances from input data simultaneously. Extensive experimental results on several challenging datasets show that the proposed NCMF method can obtain significant superiority over several other state-of-theart model fitting methods on both fitting accuracy and computational efficiency. © 2023, The Authors. All rights reserved.

关键词： Clustering algorithms

来源：评论

学校读者我要写书评

暂无评论

Feature Explainable Deep Classification for Signal Modulation Recognition

Feature Explainable Deep Classification for Signal Modulatio...

引用

Annual Conference of Industrial Electronics Society

作者： Jinyin Chen Shenghuan Miao Haibin Zheng Shilian Zheng College of Information Engineering Zhejiang University of Technology Hangzhou China Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (数字)9781728154145

ISBN: (纸本)9781728154152

Signal modulation recognition plays a critical role in many fields to identify the modulation type of wireless signals. Since the deep learning based models have achieved great success in classification tasks, more deep neural networks are proposed for signal modulation recognition. In this paper, we explore the use of different deep neural networks in both macro network architecture level and micro cell size and layer level to compare and understand their effect on classification performance. We also bring up a feature explainable deep neural network by visualizing the critical features in the deep neural models. We visually show and compare the commonality and differences of hidden layer characteristics extracted by different network structure to explain and analyze the reason why some models can achieve better classification results than the others. We believe it is an effective way to explain how deep neural model based signal classification work. Thus the explanation will help users establish appropriate understand and trust in predictions from deep modulation recognition networks.

关键词： Feature extraction Modulation Computer architecture Computational modeling Visualization Convolution Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

Quantum state and detector tomography with known rank

引用

IFAC-PapersOnLine 2023年第2期56卷 5881-5887页

作者： Shuixin Xiao Yuanlong Wang Jun Zhang Daoyi Dong Hidehiro Yonezawa School of Engineering and Information Technology University of New South Wales Canberra ACT 2600 Australia University of Michigan - Shanghai Jiao Tong University Joint Institute Shanghai Jiao Tong University Shanghai 200240 China Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 China Centre for Quantum Computation and Communication Technology Australian Research Council Canberra ACT 2600 Australia

Quantum state tomography and quantum detector tomography are two main problems in quantum system identification. In this paper, we study state tomography and detector tomography with prior knowledge about the true rank of the unknown state/detector. In this case, we propose a sufficient condition for static (non-adaptive) tomography algorithms to achieve the optimal infidelity scaling O(1/N) on the number of state copies N. Then we present two examples of such static quantum state tomography and quantum detector tomography algorithms. Numerical examples demonstrate the effectiveness of our algorithms.

关键词： Quantum system identification quantum state tomography quantum detector tomography

来源：评论

学校读者我要写书评

暂无评论

UAV-RIS-Aided Energy-Efficient and QoS-Aware Emergency communications Based on DRL

UAV-RIS-Aided Energy-Efficient and QoS-Aware Emergency Commu...

引用

IEEE Conference on Vehicular technology (VTC)

作者： Jiawei Hu Ying Ju Haoyu Wang Lei Liu Qingqi Pei Y. G. Shee Xiaojie Zhu Celimuge Wu Guangzhou Institute of Technology Xidian University Guangzhou China Department of Electrical Engineering and Computer Science University of California Irvine CA USA Shaanxi Key Laboratory of Information Communication Network and Security Xi’an University of Posts Telecommunications Xi’an China Department of Electrical and Electronic Engineering Universiti Tunku Abdul Rahman Kajang Malaysia Department of Computer Electrical and Mathematical Sciences and Engineering King Abdullah University of Science and Technology Thuwal Saudi Arabia Graduate School of Informatics and Engineering The University of Electro-Communications Tokyo Japan

ISBN: (数字)9798331517786

ISBN: (纸本)9798331517793

Ensuring reliable communication can be incredibly challenging in emergencies due to the breakdown of conventional infrastructure. However, a promising solution is on the horizon: the integration of reconfigurable intelligent surfaces (RIS) onto unmanned aerial vehicles (UAV), known as UAV-RIS. This innovative approach holds the potential to offer agile and adaptable communication services during crises, overcoming the limitations of traditional systems. This paper establishes an innovative UAV-RIS system with an active RIS to enhance the uplink communication between ground devices (GDs) and the air base station (ABS). We present an advanced communication strategy utilizing deep reinforcement learning (DRL) for UAV-RIS-supported uplink communication in dynamic emergencies. This scheme is designed to optimize the energy efficiency of the UAV-RIS communication system while adhering to quality of service (QoS) constraints for all GDs. It achieves this by jointly optimizing the trajectory of the UAV-RIS and the phase of the active RIS, ensuring efficient and reliable communication in challenging environments. To optimize the performance of the system, we propose a hierarchical Proximal Policy Optimization (H-PPO) algorithm and the upper and lower layers of H-PPO optimize the trajectory and phase control, respectively. Simulation results demonstrate that our scheme can effectively learn the communication strategy to enhance the performance of dynamic emergency communication networks.

关键词： Vehicular and wireless technologies Simulation Quality of service Phase control Reconfigurable intelligent surfaces Autonomous aerial vehicles Energy efficiency Trajectory Uplink Vehicle dynamics

来源：评论

学校读者我要写书评

暂无评论

Distributed Multi-Sensor Multi-View Fusion of PHD Filter for Maneuvering Targets

Distributed Multi-Sensor Multi-View Fusion of PHD Filter for...

引用

IEEE International Conference on Radar

作者： Cong Peng Lei Chai Wei Yi Linxiu Chen School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9781665468893

This paper addresses the problem of maneuvering multi-target tracking by a network of sensors having different and limited fields of view (FoV s). Each local sensor runs the Gaussian Mixture Probability Hypothetical Density (GMPHD) filter. Due to the target maneuver, based on a single motion model, severe tracking performance degradation can be observed. We propose to use multi-model (MM) method to realize the adaptation to motion characteristic so as to overcome maneuverability of targets. Then considering FoV s of sensors in the network are different and limited, the standard weighted arithmetic average (WAA) fusion is no longer applicable and leads to an underestimation of the target number. Therefore, we use state-dependent WAA (SD-WAA) fusion rule, which performs the WAA in a more robust way by calculating a set of state-related fusion weights. Numerical experiment is designed to demonstrate the efficacy of the proposed method.

关键词： Degradation Adaptation models Target tracking Fuses Radar Sensor fusion Sensor phenomena and characterization

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：