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Enhancing Entity Relationship Extraction in Dialogue Texts Using Hypergraph and Heterogeneous Graph 利用超图和异构图增强对话文本实体关系提取
IF 1.6 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-01-01 DOI: 10.23919/cje.2023.00.315
Shunmiao Zhang;Siyuan Zheng;Degen Huang;Dan Li
Dialogue-based relation extraction (DialogRE) aims to predict relationships between two entities in dialogue. Current approaches to dialogue relationship extraction grapple with long-distance entity relationships in dialogue data as well as complex entity relationships, such as a single entity with multiple types of connections. To address these issues, this paper presents a novel approach for dialogue relationship extraction termed the hypergraphs and heterogeneous graphs model (HG2G). This model introduces a two-tiered structure, comprising dialogue hypergraphs and dialogue heterogeneous graphs, to address the shortcomings of existing methods. The dialogue hypergraph establishes connections between similar nodes using hyper-edges and utilizes hypergraph convolution to capture multi-level features. Simultaneously, the dialogue heterogeneous graph connects nodes and edges of different types, employing heterogeneous graph convolution to aggregate cross-sentence information. Ultimately, the integrated nodes from both graphs capture the semantic nuances inherent in dialogue. Experimental results on the DialogRE dataset demonstrate that the HG2G model outperforms existing state-of-the-art methods.
基于对话的关系抽取(dialgre)旨在预测对话中两个实体之间的关系。当前的对话关系提取方法既要处理对话数据中的长距离实体关系,也要处理复杂的实体关系,例如具有多种类型连接的单个实体。为了解决这些问题,本文提出了一种新的对话关系提取方法,称为超图和异构图模型(HG2G)。该模型引入了一个两层结构,包括对话超图和对话异构图,以解决现有方法的不足。对话超图使用超边缘在相似节点之间建立连接,并利用超图卷积捕获多层次特征。同时,对话异构图连接不同类型的节点和边,利用异构图卷积对跨句信息进行聚合。最终,来自两个图的集成节点捕获了对话中固有的语义细微差别。在dialgre数据集上的实验结果表明,HG2G模型优于现有的最先进的方法。
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引用次数: 0
Enhanced Acceleration for Generalized Nonconvex Low-Rank Matrix Learning 广义非凸低秩矩阵学习的增强加速
IF 1.6 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-01-01 DOI: 10.23919/cje.2023.00.340
Hengmin Zhang;Jian Yang;Wenli Du;Bob Zhang;Zhiyuan Zha;Bihan Wen
Matrix minimization techniques that employ the nuclear norm have gained recognition for their applicability in tasks like image inpainting, clustering, classification, and reconstruction. However, they come with inherent biases and computational burdens, especially when used to relax the rank function, making them less effective and efficient in real-world scenarios. To address these challenges, our research focuses on generalized nonconvex rank regularization problems in robust matrix completion, low-rank representation, and robust matrix regression. We introduce innovative approaches for effective and efficient low-rank matrix learning, grounded in generalized nonconvex rank relaxations inspired by various substitutes for the $ell_{0}$-norm relaxed functions. These relaxations allow us to more accurately capture low-rank structures. Our optimization strategy employs a nonconvex and multi-variable alternating direction method of multipliers, backed by rigorous theoretical analysis for complexity and convergence. This algorithm iteratively updates blocks of variables, ensuring efficient convergence. Additionally, we incorporate the randomized singular value decomposition technique and/or other acceleration strategies to enhance the computational efficiency of our approach, particularly for large-scale constrained minimization problems. In conclusion, our experimental results across a variety of image vision-related application tasks unequivocally demonstrate the superiority of our proposed methodologies in terms of both efficacy and efficiency when compared to most other related learning methods.
采用核范数的矩阵最小化技术因其在图像绘制、聚类、分类和重建等任务中的适用性而获得认可。然而,它们带有固有的偏差和计算负担,特别是当用于放松秩函数时,使它们在现实场景中不那么有效和高效。为了解决这些挑战,我们的研究重点是鲁棒矩阵补全、低秩表示和鲁棒矩阵回归中的广义非凸秩正则化问题。我们介绍了有效和高效的低秩矩阵学习的创新方法,基于广义非凸秩松弛,灵感来自于各种替代$ell_{0}$范数松弛函数。这些松弛使我们能够更准确地捕捉低阶结构。我们的优化策略采用了一种非凸多变量交替方向乘法器方法,并对其复杂性和收敛性进行了严格的理论分析。该算法迭代更新变量块,保证了高效收敛。此外,我们结合了随机奇异值分解技术和/或其他加速策略来提高我们方法的计算效率,特别是对于大规模约束最小化问题。总之,我们在各种图像视觉相关应用任务中的实验结果明确表明,与大多数其他相关学习方法相比,我们提出的方法在功效和效率方面都具有优势。
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引用次数: 0
Deformable Perfect Vortex Wave-Front Modulation Based on Geometric Metasurface in Microwave Regime 微波环境下基于几何超表面的可变形完美旋涡波前调制
IF 1.6 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-01-01 DOI: 10.23919/cje.2023.00.416
Yueyi Yuan;Wenjie Zhou;Mengnuo Fan;Qun Wu;Kuang Zhang
Perfect vortex (PV) beam, as a novel paradigm to carry orbital angular momentum (OAM), owns constant radius of energy intensity and infinite mode of helical patterns, which overcomes the divergence performances of conventional vortex beam. However, common approaches for PV beam generation require optical cascading systems that should constitute of various lenses and components with bulk volume and high alignment standards, also cannot realize PV customization. Thus, in this paper, we propose a general scheme based on compact platform of geometric metasurface to achieve PV beams generations and deformable wave-front modulations. The adopted unit cell is designed with “ABA”-shaped configuration, which can high-efficiently transform circular polarization incident wave into its cross-polarized state and impose required PV phase patterns. Here, we construct series of metasurface lenses to achieve PVs with eight different OAM modes at operating frequency 10 GHz, and additionally conduct quasi-elliptical energy-ring intensities and fractional modals of PVs by introducing asymmetric periodicity and extra singularities. By exploiting compact metasurface platform, this general scheme for PV beam generation and modulation would provide a theoretical foundation for the electromagnetic waves controlling in modern wireless communication systems.
完美涡旋光束作为一种携带轨道角动量(OAM)的新型模式,具有恒定的能量强度半径和无限的螺旋模式,克服了传统涡旋光束的发散特性。然而,常见的光伏光束产生方法需要光学级联系统,该系统需要由各种透镜和组件组成,体积大,对准标准高,也无法实现光伏定制。因此,本文提出了一种基于几何超表面紧凑平台实现PV光束生成和可变形波前调制的一般方案。所采用的单元电池设计为“ABA”形结构,可以高效地将圆极化入射波转换为交极化状态,并施加所需的PV相图。在此,我们构建了一系列超表面透镜来实现工作频率为10 GHz的8种不同OAM模式的pv,并通过引入非对称周期性和额外奇点来实现pv的准椭圆能量环强度和分数阶模态。该方案利用紧凑的超表面平台,为现代无线通信系统中的电磁波控制提供了理论基础。
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引用次数: 0
Analytical Channel Modeling: From MIMO to Extra Large-Scale MIMO 分析信道建模:从MIMO到超大规模MIMO
IF 1.6 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-01-01 DOI: 10.23919/cje.2023.00.418
Jiachen Tian;Yu Han;Shi Jin;Jun Zhang;Jue Wang
Multiple antenna technologies, from traditional multiple-input multiple-output (MIMO) to massive MIMO and the emerging extra large-scale MIMO, have consistently played a pivotal role in enhancing transmission rates by increasing the number of antennas. To guide the design of transmission strategies, channel models, especially analytical ones, are always significant tools, which can also reveal the performance improvements brought about by multiple antenna technologies. Analytical channel models have enjoyed significant success in traditional MIMO and massive MIMO systems. Nevertheless, due to the extended size of the array in an extra large-scale MIMO system, the distance between the receiver and the transmitter decreases and new channel properties, which did not manifest in massive MIMO systems, begin to kick in. To model the channel tailored for extra large-scale MIMO systems analytically, it is crucial to conduct a comprehensive review of traditional analytical MIMO channel models, which serves as a foundational step in understanding the fundamental characteristics of multi-antenna channels. In this paper, we first provide a survey on the state-of-the-art analytical MIMO channel models from the perspective of spatial correlation and signal propagation. Subsequently, we summarize the new properties of extra large-scale MIMO systems, i.e., near-field properties and spatial non-stationarities, and their influences on analytical channel modeling. Our objective is to elucidate how these novel properties affect the analytical MIMO channel models, and ultimately facilitate the development of precise analytical channel models well-suited to the extra large-scale MIMO systems.
从传统的多输入多输出(MIMO)到大规模MIMO以及新兴的超大规模MIMO,多天线技术一直在通过增加天线数量来提高传输速率方面发挥着关键作用。为了指导传输策略的设计,信道模型,特别是分析模型,一直是重要的工具,它也可以揭示多种天线技术带来的性能改进。分析信道模型在传统MIMO和大规模MIMO系统中取得了显著的成功。然而,在超大规模MIMO系统中,由于阵列尺寸的扩大,接收器和发射器之间的距离减小,并且在大规模MIMO系统中没有表现出来的新信道特性开始发挥作用。为了对超大规模MIMO系统量身定制的信道进行分析建模,对传统的分析MIMO信道模型进行全面回顾是至关重要的,这是理解多天线信道基本特性的基础步骤。在本文中,我们首先从空间相关和信号传播的角度对最新的解析MIMO信道模型进行了综述。随后,我们总结了超大尺度MIMO系统的新特性,即近场特性和空间非平稳性,以及它们对分析信道建模的影响。我们的目标是阐明这些新特性如何影响分析MIMO信道模型,并最终促进适用于超大规模MIMO系统的精确分析信道模型的发展。
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引用次数: 0
PriChain: Efficient Privacy-Preserving Fine-Grained Redactable Blockchains in Decentralized Settings PriChain:在去中心化环境中高效保护隐私的细粒度可读区块链
IF 1.6 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-01-01 DOI: 10.23919/cje.2023.00.305
Hongchen Guo;Weilin Gan;Mingyang Zhao;Chuan Zhang;Tong Wu;Liehuang Zhu;Jingfeng Xue
Recently, redactable blockchain has been proposed and leveraged in a wide range of real systems for its unique properties of decentralization, traceability, and transparency while ensuring controllable on-chain data redaction. However, the development of redactable blockchain is now obstructed by three limitations, which are data privacy breaches, high communication overhead, and low searching efficiency, respectively. In this paper, we propose PriChain, the first efficient privacy-preserving fine-grained redactable blockchain in decentralized settings. PriChain provides data owners with rights to control who can read and redact on-chain data while maintaining downward compatibility, ensuring the one who can redact will be able to read. Specifically, inspired by the concept of multi-authority attribute-based encryption, we utilize the isomorphism of the access control tree, realizing fine-grained redaction mechanism, downward compatibility, and collusion resistance. With the newly designed structure, PriChain can realize $mathcal{O}(n)$ communication and storage overhead compared to prior $mathcal{O}(n^{2})$ schemes. Furthermore, we integrate multiple access trees into a tree-based dictionary, optimizing searching efficiency. Theoretical analysis proves that PriChain is secure against the chosen-plaintext attack and has competitive complexity. The experimental evaluations show that PriChain realizes $10times$ efficiency improvement of searching and $100times$ lower communication and storage overhead on average compared with existing schemes.
最近,可读区块链因其独特的去中心化、可追溯性和透明性,同时确保可控的链上数据编校而在广泛的实际系统中被提出和利用。然而,可读区块链的发展目前受到三个限制的阻碍,分别是数据隐私泄露、通信开销高和搜索效率低。在本文中,我们提出了PriChain,这是分散环境中第一个有效的保护隐私的细粒度可读区块链。PriChain为数据所有者提供了控制谁可以读取和编校链上数据的权利,同时保持向下兼容性,确保可以编校的人能够读取。具体而言,受基于多权威属性的加密概念的启发,我们利用访问控制树的同构性,实现了细粒度编校机制、向下兼容和抗合算。与之前的$mathcal{O}(n^{2})$方案相比,使用新设计的结构,PriChain可以实现$mathcal{O}(n)$通信和存储开销。此外,我们将多个访问树集成到一个基于树的字典中,优化了搜索效率。理论分析证明,PriChain对选择明文攻击是安全的,并且具有竞争复杂度。实验评估表明,与现有方案相比,PriChain的搜索效率提高了10倍,通信和存储开销平均降低了100倍。
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引用次数: 0
Linear Forgery Attacks on the Authenticated Encryption Cipher ACORN-Like 认证加密密码ACORN-Like的线性伪造攻击
IF 1.6 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-01-01 DOI: 10.23919/cje.2023.00.016
Yunqiang Li;Ting Cui
The authenticated encryption stream cipher ACORN is one of the finalists of the Competition for Authenticated Encryption: Security, Applicability, and Robustness (CAESAR) and is intended for lightweight applications. Because of structural weaknesses in the state update function of ACORN, we can introduce a linear function to analyze conditions and differential trails of the state collision and present a linear method to construct forgery messages under the condition that the key and initialization vector are known or the register state at a certain time is known. The attack method is suitable for three versions of ACORN and may be also extended to any ACORN-like, of which the linear feedback shift register (LFSR) can be replaced by other LFSRs and the feedback function can be replaced by other nonlinear functions. For continuous $l(l > 293)$ bits of new input data, we can construct $2^{l-294}$ forgery messages for any given message of ACORN. Using a standard personal computer, a concrete forgery message can be constructed almost instantly and the required central processing unit time and memory are equivalent to the required resources for solving a system of 293 linear equations over the binary field. These attacks in this paper make that the sender and receiver may easily cheat each other, which is not a desirable property for an ideal cipher and casts some doubt on the necessary authentication security requirements of ACORN.
经过身份验证的加密流密码ACORN是经过身份验证的加密:安全性、适用性和健壮性竞赛(CAESAR)的决赛选手之一,旨在用于轻量级应用程序。由于ACORN的状态更新函数存在结构上的缺陷,我们可以引入线性函数来分析状态碰撞的条件和差分轨迹,提出了一种已知密钥和初始化向量或已知某一时刻寄存器状态的线性构造伪造消息的方法。该攻击方法适用于三个版本的ACORN,也可以扩展到任何类ACORN,其中线性反馈移位寄存器(LFSR)可以用其他LFSR代替,反馈函数可以用其他非线性函数代替。对于连续$l(l >;293)$比特的新输入数据,我们可以构造$2^{l-294}$伪造消息对于任意给定的ACORN消息。使用标准的个人计算机,几乎可以立即构建具体的伪造消息,所需的中央处理单元时间和内存相当于在二进制域上求解293个线性方程系统所需的资源。本文的这些攻击使得发送方和接收方很容易互相欺骗,这并不是一个理想的密码所希望具有的特性,也使人们对ACORN的必要认证安全要求产生了怀疑。
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引用次数: 0
Non-Stationarity Characteristics in Dynamic Vehicular ISAC Channels at 28 GHz 28ghz动态车载ISAC信道的非平稳性特性
IF 1.6 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-01-01 DOI: 10.23919/cje.2024.00.003
Zhengyu Zhang;Ruisi He;Mi Yang;Xuejian Zhang;Ziyi Qi;Hang Mi;Guiqi Sun;Jingya Yang;Bo Ai
Integrated sensing and communications (ISAC) is a potential technology of 6G, aiming to enable end-to-end information processing ability and native perception capability for future communication systems. As an important part of the ISAC application scenarios, ISAC aided vehicle-to-everything (V2X) can improve the traffic efficiency and safety through intercommunication and synchronous perception. It is necessary to carry out measurement, characterization, and modeling for vehicular ISAC channels as the basic theoretical support for system design. In this paper, dynamic vehicular ISAC channel measurements at 28 GHz are carried out and provide data for the characterization of non-stationarity characteristics. Based on the actual measurements, this paper analyzes the time-varying PDPs, RMSDS and non-stationarity characteristics of front, lower front, left and right perception directions in a complicated V2X scenarios. The research in this paper can enrich the investigation of vehicular ISAC channels and enable the analysis and design of vehicular ISAC systems.
集成传感与通信(ISAC)是6G的一项潜在技术,旨在为未来的通信系统提供端到端信息处理能力和本地感知能力。作为ISAC应用场景的重要组成部分,ISAC辅助车联网V2X (vehicle-to-everything, ISAC辅助车联网V2X)可以通过互联互通和同步感知来提高交通效率和安全性。有必要对车载ISAC通道进行测量、表征和建模,作为系统设计的基础理论支持。本文对28ghz的车载ISAC信道进行了动态测量,为非平稳特性的表征提供了数据。在实际测量的基础上,分析了复杂V2X场景下前、下前、左、右感知方向的时变pdp、RMSDS和非平稳性特征。本文的研究可以丰富车载ISAC通道的研究,为车载ISAC系统的分析和设计提供依据。
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引用次数: 0
Research on Object Detection and Combination Clustering for Railway Switch Machine Gap Detection 铁道开关机间隙检测的目标检测与组合聚类研究
IF 1.6 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-01-01 DOI: 10.23919/cje.2023.00.268
Qingsheng Feng;Shuai Xiao;Wangyang Liu;Hong Li
Turnouts and switch machines play a crucial role in facilitating train line operations and establishing routes, making them vital for ensuring the safety and efficiency of railway transportation. Through the gap detection system of switch machines, the real-time working status of turnouts and switch machines on railway sites can be quickly known. However, due to the challenging working environment and demanding conversion tasks of switch machines, the current gap detection system has often experienced the issues of fault detection. To address this, this study proposes an automatic gap detection method for railway switch machines based on object detection and combination clustering. Firstly, a lightweight object detection network, specifically the MobileNet V3-YOLOv5s model, is used to accurately locate and extract the focal area. Subsequently, the extracted image undergoes preprocessing and is then fed into a combination clustering algorithm to achieve precise segmentation of the gap area and background, the algorithm consists of simple linear iterative clustering, Canopy and kernel fuzzy c-means clustering. Finally, the Fisher optimal segmentation criterion is utilized to divide the data sequence of pixel values, determine the classification nodes and calculate the gap size. The experimental results obtained from switch machine gap images captured in various scenes demonstrate that the proposed method is capable of accurately locating focal areas, efficiently completing gap image segmentation with a segmentation accuracy of 93.55%, and swiftly calculating the gap size with a correct rate of 98.57%. Notably, the method achieves precise detection of gap sizes even after slight deflection of the acquisition camera, aligning it more closely with the actual conditions encountered on railway sites.
道岔机在列车线路运行和线路确定中起着至关重要的作用,对保证铁路运输的安全、高效至关重要。通过开关机间隙检测系统,可以快速了解铁路现场道岔和开关机的实时工作状态。然而,由于开关机工作环境的挑战性和转换任务的高要求,目前的间隙检测系统经常会遇到故障检测的问题。针对这一问题,本文提出了一种基于目标检测和组合聚类的铁路开关机间隙自动检测方法。首先,采用轻量级目标检测网络,即MobileNet V3-YOLOv5s模型,对焦点区域进行精确定位和提取;随后,对提取的图像进行预处理,然后将其输入到组合聚类算法中,实现对间隙区域和背景的精确分割,该算法由简单线性迭代聚类、Canopy聚类和核模糊c均值聚类组成。最后,利用Fisher最优分割准则对像素值的数据序列进行划分,确定分类节点,计算间隙大小。实验结果表明,该方法能够准确定位焦点区域,高效完成间隙图像分割,分割精度达93.55%,快速计算间隙大小,正确率达98.57%。值得注意的是,即使在采集相机轻微偏转的情况下,该方法也能精确检测间隙大小,使其更接近铁路现场的实际情况。
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引用次数: 0
An Enhanced Clustering-Based (k, t)-Anonymity Algorithm for Graphs 图的基于聚类的增强(k, t)匿名算法
IF 1.6 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-01-01 DOI: 10.23919/cje.2023.00.276
Yuanyuan Wang;Xing Zhang;Zhiguang Chu;Wei Shi;Xiang Li
As people become increasingly reliant on the Internet, securely storing and publishing private data has become an important issue. In real life, the release of graph data can lead to privacy breaches, which is a highly challenging problem. Although current research has addressed the issue of identity disclosure, there are still two challenges: First, the privacy protection for large-scale datasets is not yet comprehensive; Second, it is difficult to simultaneously protect the privacy of nodes, edges, and attributes in social networks. To address these issues, this paper proposes a $(k, t)$-graph anonymity algorithm based on enhanced clustering. The algorithm uses $k$-means++ clustering for $k$-anonymity and $t$-closeness to improve $k$-anonymity. We evaluate the privacy and efficiency of this method on two datasets and achieved good results. This research is of great significance for addressing the problem of privacy breaches that may arise from the publication of graph data.
随着人们越来越依赖互联网,安全存储和发布私人数据已成为一个重要问题。在现实生活中,图形数据的发布可能会导致隐私泄露,这是一个极具挑战性的问题。虽然目前的研究已经解决了身份披露问题,但仍然存在两个挑战:一是大规模数据集的隐私保护还不全面;其次,难以同时保护社交网络中节点、边缘和属性的隐私。为了解决这些问题,本文提出了一种基于增强聚类的$(k, t)$-图匿名算法。该算法使用$k$-means++聚类来提高$k$-匿名性,使用$t$-接近度来提高$k$-匿名性。我们在两个数据集上对该方法的隐私性和效率进行了评估,取得了较好的结果。本研究对于解决图形数据公开可能引发的隐私泄露问题具有重要意义。
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引用次数: 0
Antenna Selection Method for Distributed Dual-Function Radar Communication in MIMO System MIMO系统中分布式双功能雷达通信天线选择方法
IF 1.6 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-01-01 DOI: 10.23919/cje.2023.00.270
Haitao Zhao;Zhongzheng Ding;Qin Wang;Wenchao Xia;Bo xu;Hongbo Zhu
Distributed dual-function radar system is an emerging trend in next-generation wireless systems, offering the possibility of improved parameter estimation for target localization as well as improved communication performance. With sufficient resource allocation, the achievable minimum estimated mean square error (MSE) and maximum total communication rate of localization may exceed the intended performance metrics of the system, which may consume an excessive number of antennas as well as antenna costs. In order to avoid resource wastage, this paper proposes a distributed dual-function radar communication multiple-input multiple-output (MIMO) system capable of performing radar and communication tasks simultaneously. The distributed system achieves the desired MSE performance metrics and communication performance metrics by efficiently selecting a subset of antennas, and minimizing the number of transmitting antennas and receiving antennas used in the system as well as the cost. In this paper, the problem is modeled as a knapsack problem where the objective is to obtain the maximal MSE performance and the maximal total communication rate performance at the lowest cost, for which we design a heuristic antenna selection algorithm. The designed algorithm is effective in reducing the time complexity as well as reducing the cost of antenna, and minimizing the number of antennas required.
分布式双功能雷达系统是下一代无线系统的一个新兴趋势,它为改进目标定位参数估计和提高通信性能提供了可能。在资源分配充足的情况下,定位可实现的最小估计均方误差(MSE)和最大总通信速率可能会超过系统的预期性能指标,这可能会消耗过多的天线数量和天线成本。为了避免资源浪费,本文提出了一种能够同时执行雷达和通信任务的分布式双功能雷达通信多输入多输出(MIMO)系统。该分布式系统通过有效地选择天线子集,并最大限度地减少系统中使用的发射天线和接收天线的数量以及成本,来实现期望的MSE性能指标和通信性能指标。本文将该问题建模为以最小代价获得最大的最大均方误差性能和最大的总通信速率性能为目标的背包问题,为此设计了一种启发式天线选择算法。所设计的算法在降低时间复杂度和天线成本的同时,有效地减少了所需天线的数量。
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引用次数: 0
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Chinese Journal of Electronics
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