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Beamforming Design for RIS-Aided ISCC in Internet of Vehicles Systems

IEEE Internet of Things Journal 2025年第9期12卷 12153-12165页

作者： Yang, Ruihang Wang, Dezhi Zhu, Shiyin Zhu, Chen Bao, Jianrong Yang, Zhaohui Huang, Chongwen Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China Xidian University State Key Laboratory of Integrated Service Networks Xi’an710071 China Zhejiang Provincial Key Laboratory of Multi-Modal Communication Networks and Intelligent Information Processing Hangzhou310027 China University of Science and Technology of China Hefei230026 China New H3C Technologies Company Ltd. Hangzhou310052 China Hangzhou Dianzi University School of Communication Engineering Hangzhou310018 China

With the development of communication technology, the Internet of Vehicles (IoV) is becoming increasingly important, enabling vehicle-to-everything communication for real-time information exchange and processing, thereby significantly enhancing traffic efficiency and safety. In this article, we consider a joint beamforming design problem in IoV, where the objective is to minimize transmission power, computation rate, and communication rate within the integrated sensing, communication, and computation (ISCC) framework. Moreover, reconfigurable intelligent surfaces (RISs) can provide additional spatial degrees of freedom to enhance the performance of ISCC systems in IoV within limited spectrum, energy resources, and complex interference management. To address the joint beamforming design problem, we present a cooperative beamforming algorithm called weight performance optimization (WPO), which explores three single-objective optimization problems in sensing, computation, and communication within the IoV context, using alternating optimization (AO) to simplify and solve these foundational elements of the WPO framework within limited resources and vehicle mobility, enhancing resource distribution while maintaining a balance between power efficiency and system performance. Numerical results demonstrate the efficiency and potential advantages of our proposed algorithms. Specifically, the results show that the sensing error of the WPO algorithm is reduced by up to 92.2% compared to existing popular algorithms, while the computation rate and communication rate are increased by more than 29.5% and 23.9%, respectively. © 2014 IEEE.

关键词： Array signal processing Sensors Interference Heuristic algorithms Reconfigurable intelligent surfaces Real-time systems Optimization Resource management Reliability Complexity theory

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Single foggy image restoration based on spatial correlation analysis of dark channel prior

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Journal of Systems Engineering and Electronics 2014年第4期25卷 688-696页

作者： Yan Tian Dong Xia Yiping Xu National Key Laboratory of Science and Technology on Multi-spectral Information Processing Huazhong University of Science and Technology

Focusing on the degradation of foggy images, a restora- tion approach from a single image based on spatial correlation of dark channel prior is proposed. Firstly, the transmission of each pixel is estimated by the spatial correlation of dark channel prior. Secondly, a degradation model is utilized to restore the foggy image. Thirdly, the final recovered image, with enhanced contrast, is obtained by performing a post-processing technique based on just-noticeable difference. Experimental results demonstrate that the information of a foggy image can be recovered perfectly by the proposed method, even in the case of the abrupt depth changing scene.

关键词： foggy image image restoration dark channel prior,spatial correlation.

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CNS/Pulsar Integrated Navigation Using Two-level Filter

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电子学报(英文版) 2010年第2期19卷 265-269页

作者： LIU Jin MA Jie TIAN Jinwen Key Laboratory of National Defense Science and Technology for Multi-spectral Information Processing Technologies Huazhong University of Science and Technology Wuhan China

To improve the position accuracy, a CNS (Celestial navigation system)/pulsar integrated navigation system with clock drift is proposed. In the pulsar navigation subsystem, the epoch-difference method is adopted to eliminate clock drift, but it induces colored noise. The two-level filter, which is composed of an UKF (Unscented Kalman filter) and an H_∞ filter in series connected, is proposed for fusing the data from the celestial navigation and pulsar navigation subsystems. The celestial navigation subsystem adopts the UKF because of its good performance in nonlinear estimation, while the pulsar navigation subsystem utilizes the H_∞ filter due to its robustness to colored noise. Compared with CNS and two CNS/pulsar integrated navigation methods without two-level filter, the proposed method can provide higher navigation accuracy. Simulation results show that the position estimation accuracy of the proposed method can achieve 140m in the presence of clock drift.

关键词：组合导航系统中枢神经系统脉冲星过滤器 Unscented卡尔曼滤波天文导航系统双级有色噪声

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Repeatable adaptive keypoint detection via self-supervised learning

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Science China(information Sciences) 2022年第11期65卷 123-147页

作者： Pei YAN Yihua TAN Yuan TAI National Key Laboratory of Science & Technology on Multi-spectral Information Processing School of Artificial Intelligence and Automation Huazhong University of Science and Technology

keypoint-based matching is a fundamental technology for different computer vision tasks, in which keypoint detection is a crucial step and directly affects the entire performance. Based on deep learning approaches, the learning-based keypoint detectors have been significantly developed. To further improve the accuracy of high-level matching tasks, the extracted keypoints should provide more accurate point-to-point correspondences and maintain a uniform spatial distribution. Based on this idea, a self-supervised learning method of keypoint detection named repeatable adaptive point is proposed. This method consists of a selfsupervised objective and an optimization algorithm. The objective maximizes the repeatability measure with the sparsity constraint of keypoints. This sparsity constraint is formulated by combining the non-maximum suppression operation and the penalty function of keypoint number, which generally makes keypoints have a uniform spatial distribution. A novel approximate alternate optimization algorithm is proposed to maximize the above objective, whose convergence is proved in theory. The proposed detector is “adaptive” because the combinations of it and some existing descriptors can adapt to high-level matching tasks with a fast convergence speed. Specifically, the combinations of it and SuperPoint/HardNet descriptors achieve stateof-the-art accuracy on three high-level tasks based on image matching, namely homography estimation,camera pose estimation, and three-dimensional reconstruction. Furthermore, the proposed method converges faster on new scenes compared with the state-of-the-art method that jointly optimizes the detector and the descriptor.

关键词： keypoint detection convolutional neural network image matching self-supervised learning repeatable

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Pulsar/CNS integrated navigation based on federated UKF

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Journal of Systems Engineering and Electronics 2010年第4期21卷 675-681页

作者： Jin Liu Jie Ma Jinwen Tian State Key Laboratory for Multi-spectral Information Processing Technologies Institue for Pattern Recognition and artifical Intelligence Huazhong University of Science and Technology Wuhan 430074 P. R. China

In order to improve the autonomous navigation capability of satellite,a pulsar/CNS（celestial navigation system） integrated navigation method based on federated unscented Kalman filter（UKF） is *** celestial navigation is a mature and stable navigation ***,its position determination performance is not satisfied due to the low accuracy of horizon *** pulsar navigation is a new navigation method,which can provide highly accurate range *** major drawback of single pulsar navigation is that the system is completely *** two methods are complementary to each other,the federated UKF is used here for fusing the navigation data from single pulsar navigation and *** to the traditional celestial navigation method and single pulsar navigation,the integrated navigation method can provide better navigation *** simulation results demonstrate the feasibility and effectiveness of the navigation method.

关键词： autonomous navigation celestial navigation system(CNS) pulsar federated unscented Kalman filter(UKF).

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Robust key point descriptor for multi-spectral image matching

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Journal of Systems Engineering and Electronics 2014年第4期25卷 681-687页

作者： Yueming Qin Zhiguo Cao Wen Zhuo Zhenghong Yu National Key Laboratory of Science and Technology on Multi-spectral Information Processing School of AutomationHuazhong University of Science and Technology Yichang Testing Technique R&D Institute

Histogram of collinear gradient-enhanced coding （HCGEC）, a robust key point descriptor for multi-spectral image matching, is proposed. The HCGEC mainly encodes rough structures within an image and suppresses detailed textural information, which is desirable in multi-spectral image matching. Experiments on two multi-spectral data sets demonstrate that the proposed descriptor can yield significantly better results than some state-of- the-art descriptors.

关键词： collinear gradient-enhanced coding (CGEC) key pointdescriptor multi-spectral image matching.

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Geomagnetic navigation reference map preparation and statistical analysis

Geomagnetic navigation reference map preparation and statist...

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MIPPR 2009 - Remote Sensing and GIS Data processing and Other Applications: 6th International Symposium on multispectral Image processing and Pattern Recognition

作者： Wu, Meng Ma, Jie Tian, Jin Wen Key Laboratory for Multi-spectral Information Processing Technologies Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478092

Geomagnetic field is the basic physics field of the Earth, which can't be destroyed or changed in the foreseeable future. Geomagnetic field don't require special service, therefore, it can be considered as a solid source of navigation information. The key technologies of geomagnetic navigation are still looking for high accuracy mapping and high accuracy geomagnetic field measurement on board aircraft, The article analyses some kinds of geomagnetic models. according to the character of the geomagnetic models, The NGDC-720 model is used as reference map preparation. The model with Kriging method give birth to the reference maps which include geomagnetic seven vectors' map (X, Y, Z, F, D, I, H). Using the reference maps, The geomagnetic vectors'statistical characters have been analyzed. According to the statistical characters, some changeable obviously statistical characters can be used as matching characteristic values. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Interpolation

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Small moving target detection model based on improved mixed disturbance gauss model

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Telkomnika (Telecommunication Computing Electronics and Control) 2016年第3A期14卷 229-236页

作者： Bai, Ting Tian, Jinwen Sun, Xiao National Key Laboratory of Science and Technology on Multi-spectral Information Processing School of Automation Huazhong University of Science and Technology Wuhan430074 China

In order to obtain ideal moving target detection results, a kind of moving target detection algorithm of improved mixture Gaussian model is proposed in this paper on the basis of analyzing the deficiency of traditional Mixture Gaussian model. Firstly, in this algorithm, the update rate is increased to better adapt to the change of environment and the idea of pixel connected region is introduced to remove the noise, then the invariance property of chroma is adopted to avoid arising of "shadow" phenomenon;finally, simulation comparison experiment is used to test its performance. The experiment results show that this algorithm can generate reliable background image and accurately and completely detect the moving target to obtain more superior detection results of comparison algorithm, which can meet the practical application requirement of target tracking. © 2016 Universitas Ahmad Dahlan. All rights reserved.

关键词： Target tracking

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ROI image compression algorithm for reconnaissance satellite systems

ROI image compression algorithm for reconnaissance satellite...

引用

MIPPR 2009 - Remote Sensing and GIS Data processing and Other Applications: 6th International Symposium on multispectral Image processing and Pattern Recognition

作者： Tian, Xin Wang, Chun-Ming Tan, Yi-Hua Tian, Jin-Wen State Key Laboratory for Multi-spectral Information Processing Technologies Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478092

The visual effect is an important fact in the coding algorithm. So the saliency of visual attention(SVA) can be used to determine the region of interest(ROI) in the ROI image coding. A novel SVA based ROI(SVA-ROI) image coding scheme is presented for the reconnaissance satellite systems. As the SVA of the original image and reconstructed image are usually the same, the same ROI can be automatically determined in the encoder and decoder with the SVA. Then the ROI side information is no need to be transmitted and the compression efficiency can be improved. Experimental results have demonstrated that SVA-ROI has better visual effect than the similar algorithms, which will be suitable for the reconnaissance satellite systems. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Image compression

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Building localization from forward-looking infrared images for UAV guidance

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Gyroscopy and Navigation 2013年第4期4卷 188-197页

作者： Qin, Y. Cao, Zh. Li, H. Wang, X. Zhuo, W. National Key Laboratory of Science and Technology on Multi-Spectral Information Processing Wuhan China School of Automation Huazhong University of Science and Technology Wuhan China

This paper proposes a new approach to localizing a designated building from forward-looking infrared images under complex scenes, which can be used in UAV guidance. The approach makes full use of the scene information and is able to localize small or occluded buildings. The experiment results prove the algorithm efficiency. © 2013 Pleiades Publishing, Ltd.

关键词： Infrared imaging

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