Science China Information Sciences最新文献_第4页

Data-driven electrical resistance tomography for robotic large-area tactile sensing 用于机器人大面积触觉传感的数据驱动电阻断层成像技术

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-08-19 DOI: 10.1007/s11432-023-4130-3

Wendong Zheng, Huaping Liu, Xiaofeng Liu, Fuchun Sun

引用次数: 0

Orthogonal waveform design with fractional programming on the ambiguity suppression of SAR systems 利用分数程序设计正交波形，抑制合成孔径雷达系统的模糊性

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-08-19 DOI: 10.1007/s11432-023-4076-7

Yunkai Deng, Yongwei Zhang, Zhimin Zhang, Wei Wang, Heng Zhang

{"title":"Orthogonal waveform design with fractional programming on the ambiguity suppression of SAR systems","authors":"Yunkai Deng, Yongwei Zhang, Zhimin Zhang, Wei Wang, Heng Zhang","doi":"10.1007/s11432-023-4076-7","DOIUrl":"https://doi.org/10.1007/s11432-023-4076-7","url":null,"abstract":"Waveform diversity (WD) represents a dynamic and transformative technology widely used in radar systems to enhance sensitivity and discrimination capabilities. Recently, WD techniques have been extensively explored for their potential ambiguity suppression within synthetic aperture radar (SAR) systems. Among these, the alternate transmitting mode combined with orthogonal waveforms emerges as a particularly promising solution. This study focuses on optimizing the power spectrum density (PSD) of signals to design and generate an orthogonal waveform pair that achieves both a low cross-correlation-to-autocorrelation ratio (CAR) and satisfactory imaging performance. Initially, we construct a fractional programming model with convex constraints to minimize the CAR. To address this challenge, we introduce an iterative optimization procedure for the PSD variable, which sequentially reduces the CAR. Each optimization step can be efficiently solved using a quadratically constrained quadratic program, ensuring that the resulting computational complexity remains low. Building on the optimized PSD, we established a parametric piecewise linear model to generate an orthogonal waveform pair. This model not only maintains a low CAR but achieves satisfactory imaging performance in real-time applications. Consequently, this orthogonal waveform pair effectively suppresses range ambiguity in SAR systems. Finally, we demonstrated the practicability and effectiveness of the proposed orthogonal waveforms through detailed simulation experiments, specifically targeting ambiguity suppression in conventional quad-polarization SAR systems.","PeriodicalId":21618,"journal":{"name":"Science China Information Sciences","volume":"29 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142189471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deterministic learning-based neural output-feedback control for a class of nonlinear sampled-data systems 一类非线性采样数据系统的基于确定性学习的神经输出反馈控制

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-08-19 DOI: 10.1007/s11432-023-3996-3

Yu Zeng, Fukai Zhang, Tianrui Chen, Cong Wang

{"title":"Deterministic learning-based neural output-feedback control for a class of nonlinear sampled-data systems","authors":"Yu Zeng, Fukai Zhang, Tianrui Chen, Cong Wang","doi":"10.1007/s11432-023-3996-3","DOIUrl":"https://doi.org/10.1007/s11432-023-3996-3","url":null,"abstract":"This study investigates the deterministic learning (DL)-based output-feedback neural control for a class of nonlinear sampled-data systems with prescribed performance (PP). Specifically, first, a sampled-data observer is employed to estimate the unavailable system states for the Euler discretization model of the transformed system dynamics. Then, based on the observations and backstepping method, a discrete neural network (NN) controller is constructed to ensure system stability and achieve the desired tracking performance. The noncausal problem encountered during the controller deduction process is resolved using a command filter. Moreover, the regression characteristics of the NN input signals are demonstrated with the observed states. This ensures that the radial basis function NN, based on DL theory, meets the partial persistent excitation condition. Subsequently, a class of discrete linear time-varying systems is proven to be exponentially stable, achieving partial convergence of neural weights to their optimal/actual values. Consequently, accurate modeling of unknown closed-loop dynamics is achieved along the system trajectory from the output-feedback control. Finally, a knowledge-based controller is developed using the modeling results. This controller not only enhances the control performance but also ensures the PP of the tracking error. The effectiveness of the scheme is illustrated through simulation results.","PeriodicalId":21618,"journal":{"name":"Science China Information Sciences","volume":"38 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142189463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Probing quantum causality with geometric asymmetry in spatial-temporal correlations 利用时空相关性中的几何不对称探测量子因果关系

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-08-19 DOI: 10.1007/s11432-024-4007-y

Yu Meng, Zheng-Hao Liu, Zhikuan Zhao, Peng Yin, Yi-Tao Wang, Wei Liu, Zhi-Peng Li, Yuan-Ze Yang, Zhao-An Wang, Jin-Shi Xu, Shang Yu, Jian-Shun Tang, Chuan-Feng Li, Guang-Can Guo

{"title":"Probing quantum causality with geometric asymmetry in spatial-temporal correlations","authors":"Yu Meng, Zheng-Hao Liu, Zhikuan Zhao, Peng Yin, Yi-Tao Wang, Wei Liu, Zhi-Peng Li, Yuan-Ze Yang, Zhao-An Wang, Jin-Shi Xu, Shang Yu, Jian-Shun Tang, Chuan-Feng Li, Guang-Can Guo","doi":"10.1007/s11432-024-4007-y","DOIUrl":"https://doi.org/10.1007/s11432-024-4007-y","url":null,"abstract":"Causation promotes the understanding of correlation to an advanced stage by elucidating its underlying mechanism. Although statisticians have specified the possible causal relations among correlations, inferring causal structures is impossible from only the observed correlations in the classical world. Quantum correlations encapsulating the most defining aspects of quantum physics have taken a new turn for the causal inference problem — the two-point spatial and temporal quantum correlations with observationally discernible characteristics correspond exactly to the two most basic causal structures. However, a direct causal interpretation for quantum correlations has only been established in very limited cases. Here, we explore to what extent quantum correlations promote causal inference. Theoretically, we have found that the distinguishable causal regime of two-point Pauli correlations can be expanded from a single value to an asymmetric interval, and the causal structures determining the quantum correlations can be interpreted by a simple distance criterion. Experimentally, we have devised and implemented a versatile non-unital quantum channel in an optical architecture to directly observe such an asymmetric interval. The setup enabled quantum causal inference without any requirement of active intervention, which is impossible in the classical realm. Our work facilitates the identification of causal links among quantum variables and provides insight into characterizing causation and spatial-temporal correlation in quantum mechanics.","PeriodicalId":21618,"journal":{"name":"Science China Information Sciences","volume":"34 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142189450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Broadband light-active optoelectronic FeFET memory for in-sensor non-volatile logic 用于传感器内非易失性逻辑的宽带光活性光电 FeFET 存储器

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-08-19 DOI: 10.1007/s11432-024-4117-y

Yong Zhang, Dongxin Tan, Cizhe Fang, Zheng-Dong Luo, Qiyu Yang, Qiao Zhang, Yu Zhang, Xuetao Gan, Yan Liu, Yue Hao, Genquan Han

引用次数: 0

Repeat-pass space-surface bistatic SAR tomography: accurate imaging and first experiment 重复通过空间-地表双稳态合成孔径雷达断层成像：精确成像和首次实验

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-08-19 DOI: 10.1007/s11432-024-4089-2

Zhiyang Chen, Yuanhao Li, Cheng Hu, Shenglei Wang, Xinpeng Chen, Mihai Datcu, Andrea Virgilio Monti-Guarnieri

{"title":"Repeat-pass space-surface bistatic SAR tomography: accurate imaging and first experiment","authors":"Zhiyang Chen, Yuanhao Li, Cheng Hu, Shenglei Wang, Xinpeng Chen, Mihai Datcu, Andrea Virgilio Monti-Guarnieri","doi":"10.1007/s11432-024-4089-2","DOIUrl":"https://doi.org/10.1007/s11432-024-4089-2","url":null,"abstract":"Space-surface bistatic synthetic aperture radar (SS-BiSAR) offers an additional observation angle for monostatic spaceborne SAR, making it a promising technology for high-accuracy deformation retrieval technology in local regions. Repeat-pass SS-BiSAR tomography can accurately estimate the surfaces of buildings and steep areas, effectively removing terrain phases during deformation retrieving. However, inaccuracies in the orbital ephemeris can lead to image geometry distortion, reducing image pair coherence, introducing interferometric phase errors, and consequently deteriorating tomographic precision. This paper precisely models the image geometry distortion and interferometric phase error caused by repeat-pass ephemeris error. We propose an ephemeris correction method based on the chirp-Z transform to address these issues. Furthermore, we introduce an accurate tomography model to improve 3D reconstruction accuracy. Our first SS-BiSAR tomography experiment, conducted using the Chinese Lutan-1 satellite, demonstrates that the correlation coefficient is improved by 0.16 after ephemeris error correction. Moreover, the density and precision of the tomographic point cloud are improved by 13.7% and 12.1%, respectively.","PeriodicalId":21618,"journal":{"name":"Science China Information Sciences","volume":"51 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142189440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Near-field channel estimation for extremely large-scale Terahertz communications 超大规模太赫兹通信的近场信道估计

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-08-19 DOI: 10.1007/s11432-023-4077-8

Songjie Yang, Yizhou Peng, Wanting Lyu, Ya Li, Hongjun He, Zhongpei Zhang, Chau Yuen

{"title":"Near-field channel estimation for extremely large-scale Terahertz communications","authors":"Songjie Yang, Yizhou Peng, Wanting Lyu, Ya Li, Hongjun He, Zhongpei Zhang, Chau Yuen","doi":"10.1007/s11432-023-4077-8","DOIUrl":"https://doi.org/10.1007/s11432-023-4077-8","url":null,"abstract":"Future Terahertz communications exhibit significant potential in accommodating ultra-high-rate services. Employing extremely large-scale array antennas is a key approach to realize this potential, as they can harness substantial beamforming gains to overcome the severe path loss and leverage the electromagnetic advantages in the near field. This paper proposes novel estimation methods designed to enhance efficiency in Terahertz widely-spaced multi-subarray (WSMS) systems. Initially, we introduce three sparse channel representation methods: polar-domain representation (PD-R), multi-angular-domain representation (MAD-R), and two-dimensional polar-angular-domain representation (2D-PAD-R). Each method is meticulously developed for near-field WSMS channels, capitalizing on their sparsity characteristics. Building on this, we propose four estimation frameworks using the sparse recovery theory: polar-domain estimation (PD-E), multi-angular-domain estimation (MAD-E), two-stage polar-angular-domain estimation (TS-PAD-E), and two-dimensional polar-angular-domain estimation (2D-PAD-E). Particularly, 2D-PAD-E, integrating a 2D dictionary process, and TS-PAD-E, with its sequential approach to angle and distance estimation, stand out as particularly effective for near-field angle-distance estimation, enabling decoupled calculation of these parameters. Overall, these frameworks provide versatile and efficient solutions for WSMS channel estimation, balancing low complexity with high-performance outcomes. Additionally, they represent a fresh perspective on near-field signal processing.","PeriodicalId":21618,"journal":{"name":"Science China Information Sciences","volume":"19 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142189508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The quantum Ising model for perfect matching and solving it with variational quantum eigensolver 完美匹配的量子伊辛模型及其变分量子求解器的求解

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-08-19 DOI: 10.1007/s11432-023-4039-y

Qilin Zheng, Pingyu Zhu, Chao Wu, Miaomiao Yu, Weihong Luo, Ping Xu

{"title":"The quantum Ising model for perfect matching and solving it with variational quantum eigensolver","authors":"Qilin Zheng, Pingyu Zhu, Chao Wu, Miaomiao Yu, Weihong Luo, Ping Xu","doi":"10.1007/s11432-023-4039-y","DOIUrl":"https://doi.org/10.1007/s11432-023-4039-y","url":null,"abstract":"Obtaining all perfect matchings of a graph is a tough problem in graph theory, and its complexity belongs to the #P-Complete class. The problem is closely related to combinatorics, marriage matching problems, dense subgraphs, the Gaussian boson sampling, chemical molecular structures, and dimer physics. In this paper, we propose a quadratic unconstrained binary optimization formula of the perfect matching problem and translate it into the quantum Ising model. We can obtain all perfect matchings by mapping them to the ground state of the quantum Ising Hamiltonian and solving it with the variational quantum eigensolver. Adjusting the model’s parameters can also achieve the maximum or minimum weighted perfect matching. The experimental results on a superconducting quantum computer of the Origin Quantum Computing Technology Company show that our model can encode 2n dimensional optimization space with only O(n) qubits consumption and achieve a high success probability of the ground state corresponding to all perfect matchings. In addition, the further simulation results show that the model can support a scale of more than 14 qubits, effectively resist the adverse effects of noise, and obtain a high success probability at a shallow variational depth. This method can be extended to other combinatorial optimization problems.","PeriodicalId":21618,"journal":{"name":"Science China Information Sciences","volume":"73 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142189452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Interference mitigation and target detection for automotive FMCW radar with range-Doppler sparse regularization 采用测距-多普勒稀疏正则化的汽车 FMCW 雷达的干扰缓解和目标检测

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-08-16 DOI: 10.1007/s11432-024-4110-4

Yan Huang, Yunxuan Wang, Xiao Zhou, Hui Zhang, Yuan Mao, Guisheng Liao, Wei Hong

引用次数: 0

Data delivery delay and cross-layer packet size analysis for reliable transmission of Licklider transmission protocol in space networks 空间网络中 Licklider 传输协议可靠传输的数据传输延迟和跨层数据包大小分析

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-08-16 DOI: 10.1007/s11432-024-4091-6

Guannan Yang, Ruhai Wang, Kanglian Zhao, Wenfeng Li, Dong Yan

{"title":"Data delivery delay and cross-layer packet size analysis for reliable transmission of Licklider transmission protocol in space networks","authors":"Guannan Yang, Ruhai Wang, Kanglian Zhao, Wenfeng Li, Dong Yan","doi":"10.1007/s11432-024-4091-6","DOIUrl":"https://doi.org/10.1007/s11432-024-4091-6","url":null,"abstract":"Delay/disruption tolerant networking (DTN) is proposed as a networking architecture to overcome challenging space communication characteristics for reliable data transmission service in presence of long propagation delays and/or lengthy link disruptions. Bundle protocol (BP) and Licklider Transmission Protocol (LTP) are the main key technologies for DTN. LTP red transmission offers a reliable transmission mechanism for space networks. One of the key metrics used to measure the performance of LTP in space applications is the end-to-end data delivery delay, which is influenced by factors such as the quality of spatial channels and the size of cross-layer packets. In this paper, an end-to-end reliable data delivery delay model of LTP red transmission is proposed using a roulette wheel algorithm, and the roulette wheel algorithm is more in line with the typical random characteristics in space networks. The proposed models are validated through real data transmission experiments on a semi-physical testing platform. Furthermore, the impact of cross-layer packet size on the performance of LTP reliable transmission is analyzed, with a focus on bundle size, block size, and segment size. The analysis and study results presented in this paper offer valuable contributions towards enhancing the reliability of LTP transmission in space communication scenarios.","PeriodicalId":21618,"journal":{"name":"Science China Information Sciences","volume":"36 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142189474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0