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Dot-shaped beamforming analysis of subarray-based sin-FDA Research Article

Bo Wang, Jun-wei Xie, Jing Zhang, Jia-ang Ge,wb_wangbo1991@163.com

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 10,   Pages 1429-1444 doi: 10.1631/FITEE.1800722

Abstract: Phased array (PA) radar is one of the most popular types of radar. In contrast to PA, the (FDA) is a potential solution to suppress range-related interference because of its time-range-angle-dependent beampattern. However, the range-angle coupling inherent in the FDA transmit beampattern may degrade the output signal-to-interference-plus-noise ratio (SINR). We propose a method based on the analyzed four subarray-based FDAs and subarray-based planar FDAs using a sinusoidally increasing frequency offset with elements transmitting at multiple frequencies. The numerical results show that the proposed approach outperforms the existing log-FDA with logarithmical frequency offset in transmit energy focus, sidelobe suppression, and array resolution. Comparative simulation results validate the effectiveness of the proposed method.

Keywords： 频率分集阵列；子阵频率分集阵列；解耦；点状波束形成    

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Optimization of a robust collaborative-relay beamforming design for simultaneous wireless information and power transfer None

Lu-lu ZHAO, Xing-long JIANG, Li-min LI, Guo-qiang ZENG, Hui-jie LIU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1432-1443 doi: 10.1631/FITEE.1601268

Abstract:

We investigate a collaborative-relay beamforming design for simultaneous wireless information and power transfer. A non-robust beamforming design that assumes availability of perfect channel state information (CSI) in the relay nodes is addressed. In practical scenarios, CSI errors are usually inevitable; therefore, a robust collaborativerelay beamforming design is proposed. By applying the bisection method and the semidefinite relaxation (SDR) technique, the non-convex optimization problems of both non-robust and robust beamforming designs can be solved. Moreover, the solution returned by the SDR technique may not always be rank-one; thus, an iterative sub-gradient method is presented to acquire the rank-one solution. Simulation results show that under an imperfect CSI case, the proposed robust beamforming design can obtain a better performance than the non-robust one.

Keywords： Simultaneous wireless information and power transfer     Channel state information     Robust beamforming     Semidefinite relaxation     Iterative sub-gradient    

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Miniaturized Rotman lens with applications to wireless communication Research Articles

Bao-hua SUN, Qiu-yan LIANG, Gao-nan ZHOU

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 1,   Pages 144-158 doi: 10.1631/FITEE.1900501

Abstract: Rotman lens is a type of beamforming network with many advantages, such as true-time delay characteristic, multibeam capability, and wide bandwidth. Rotman lens has been used in a wide range of applications in today’s wireless communication systems. However, the size of a conventional Rotman lens is considerably large. So, difficulties may arise with respect to its integration with base station antennas in wireless communication systems. In this study, three techniques for the miniaturization of a Rotman lens, i.e., Chebyshev impedance transformers, power dividers, and truncated ports with energy distribution slots, are introduced to design the Rotman lens to reduce the size of the ports and hence the total area occupied by the Rotman lens. Simulation and measurement results indicate that good impedance matching between the lens body and its feed lines can be achieved. Using the proposed truncated ports with energy distribution slots, the size of the Rotman lens can be greatly reduced without performance degradation or production cost increment. Moreover, two possible applications of the proposed miniaturized Rotman lens to wireless communication systems are investigated. Rotman lens can not only provide multiple phase difference signals along the array ports to realize multibeams, but also generate high-performance formed beams such as flat-topped radiation pattern.

Keywords： Rotman lens     Miniaturization     Multibeam     Beamformer     Wireless communication    

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FM Radio Based Non-cooperative Bistatic Radar Experimental System

Wang Yan

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 39-42

Abstract:

An experimental FM radio based non-cooperative bistatic radar is briefly described,  and two related key techniques,  i. e. line-of-sight (LOS) signal cancellation and targets detection,  are listed in this paper.  Other than algorithms appeared in most papers,  NLMS based non-causal filters are used to equalize the array multi-channel differences.  The LOS signal about 80 dB above the noise level is cancelled completely after joint time-space processing.  Civil airplanes are detected 300 km away.  Experimental data verifies the simplicity and effectiveness of the proposed method.

Keywords： FM radio     non-cooperative bistatic radar     LOS signal     equalization     DBF    

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Properties of a general quaternion-valued gradient operator and its applications to signal processing

Meng-di Jiang, Yi Li, Wei Liu,w.liu@sheffield.ac.uk

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 2,   Pages 83-95 doi: 10.1631/FITEE.1500334

Abstract: The gradients of a -valued function are often required for ic algorithms. The HR provides a viable framework and has found a number of applications. However, the applications so far have been limited to mainly real-valued functions and linear -valued functions. To generalize the operator to nonlinear functions, we define a restricted version of the HR operator, which comes in two versions, the left and the right ones. We then present a detailed analysis of the properties of the operators, including several different product rules and chain rules. Using the new rules, we derive explicit expressions for the derivatives of a class of regular nonlinear -valued functions, and prove that the restricted HR gradients are consistent with the gradients in the real domain. As an application, the derivation of the least mean square algorithm and a nonlinear adaptive algorithm is provided. Simulation results based on vector sensor arrays are presented as an example to demonstrate the effectiveness of the -valued signal model and the derived algorithm.

Keywords： Quaternion     Gradient operator     Signal processing     Least mean square (LMS) algorithm     Nonlinear adaptive filtering     Adaptive beamforming    

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Supermodular interference suppression game for multistatic MIMO radar networks and multiple jammers with multiple targets Research Article

Bin HE, Hongtao SU,aihebin19@163.com,suht@xidian.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 4,   Pages 617-629 doi: 10.1631/FITEE.2000652

Abstract: To deal with the threat of the new generation of electronic warfare, we establish a non-cooperative countermeasure game model to analyze and interference suppression between multistatic multiple-input multiple-output (MIMO) radars and in this study. First, according to the strategy, a supermodular game framework with a fixed weight (FW) vector is constructed. At the same time, a constrained optimization model for maximizing the radar utility function is established. Based on the utility function, the best strategies for the radars and jammers are obtained. The existence and uniqueness of the Nash equilibrium (NE) of the are proved. A algorithm with FW is proposed which converges to the NE. In addition, we use adaptive methods to suppress cross-channel interference that occurs as direct wave interferences between the radars and jammers. A algorithm for joint and is also proposed. The algorithm can ensure the best , and also improves the interference suppression ability of the . Finally, the effectiveness and convergence of two algorithms are verified by numerical results.

Keywords： Supermodular game     Power allocation     Beamforming     MIMO radar     Multiple jammers    

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Low complexity robust adaptive beamforming for general-rank signal model with positive semidefinite constraint Article

Yu-tang ZHU,Yong-bo ZHAO,Jun LIU,Peng-lang SHUI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 11,   Pages 1245-1252 doi: 10.1631/FITEE.1601112

Abstract: We propose a low complexity robust beamforming method for the general-rank signal model, to combat against mismatches of the desired signal array response and the received signal covariance matrix. The proposed beamformer not only considers the norm bounded uncertainties in the desired and received signal covariance matrices, but also includes an additional positive semidefinite constraint on the desired signal covariance matrix. Based on the worst-case performance optimization criterion, a computationally simple closed-form weight vector is obtained. Simulation results verify the validity and robustness of the proposed beamforming method.

Keywords： Beamforming     General-rank     Low complexity     Positive semidefinite (PSD) constraint     Model mismatches    

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The zero-point energy of vibration and the Casimir force

Huang Zhixun

Strategic Study of CAE 2008, Volume 10, Issue 5,   Pages 63-69

Abstract:

Put two metal sheets very close together in vacuum, we'll find they attract each other with a small but measurable force. The explanation for the Casimir effect is that empty space is cracking with zero-point energy(ZPE), a phenomenon arising from quantum theory, and this energy pushes the metal plates together. All scientists agree that such a force does exist, but the trouble is physicists can't agree on what it means for something to be true. Is empty space really fizzing with energy? Perhaps the answer may determine the fate of the universe. A variety of anomalous phenomena in nature or at laboratories could be explained by the Casimir effect and the torsion field theory.

Keywords： zero-point energy     zero-point field     energy of vacuum     Casimir force     theory of torsion field    

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Robust generalized sidelobe canceller based on eigenanalysis and a MaxSINR beamformer Research Articles

Quan-dong WANG, Liang-hao GUO, Wei-yu ZHANG, Sui-ling REN, Chao YAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 7,   Pages 975-987 doi: 10.1631/FITEE.1700367

Abstract:

A robust generalized sidelobe canceller is proposed to combat direction of arrival (DOA) mismatches. To estimate the interference-plus-noise (IPN) statistics characteristics, conventional signal of interest (SOI) extraction methods usually collect a large number of segments where only the IPN signal is active. To avoid that collection procedure, we redesign the blocking matrix structure using an eigenanalysis method to reconstruct the IPN covariance matrix from the samples. Additionally, a modified eigenanalysis reconstruction method based on the rank-one matrix assumption is proposed to achieve a higher reconstruction accuracy. The blocking matrix is obtained by incorporating the effective reconstruction into the maximum signal-to-interferenceplus-noise ratio (MaxSINR) beamformer. It can minimize the influence of signal leakage and maximize the IPN power for further noise and interference suppression. Numerical results show that the two proposed methods achieve considerable improvements in terms of the output waveform SINR and correlation coefficients with the desired signal in the presence of a DOA mismatch and a limited number of snapshots. Compared to the first proposed method, the modified one can reduce the signal distortion even further.

Keywords： Eigenanalysis     Interference-plus-noise covariance matrix reconstruction     Maximum signal-to-interference-plus-noise ratio criterion     Blocking matrix     Generalized sidelobe canceller     Direction of arrival mismatch    

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Study on the Mechanism and Cause Mode of the Karst Collapse——Taking Tai’an-Laiwu for Example

Gao Zongjun

Strategic Study of CAE 2008, Volume 10, Issue 4,   Pages 38-43

Abstract:

The fearful karst collapses have been produced in succession since 1970s by the exploitation of karst water in the area of Tai'an-Laiwu, Shandong province. The limestone buried by Quaternary System grows into karst caves, and karst collapse brings enormous harm to the local society and economy development. The spatio-temporal distributing characteristics of karst collapse are summed up in detail. The geological condition, artificial function and forming mechanism of karst collapse are discussed. The cause mode of the karst collapse aiming at the existing questions is discussed and the idea for karst collapse studying in the future is given at last.

Keywords： Tai’an-Laiwu     karst collaps     spatio-temporal distributing characteristics     forming mechanism     cause mode    

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An anchor-based spectral clustering method None

Qin ZHANG, Guo-qiang ZHONG, Jun-yu DONG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1385-1396 doi: 10.1631/FITEE.1700262

Abstract:

Spectral clustering is one of the most popular and important clustering methods in pattern recognition, machine learning, and data mining. However, its high computational complexity limits it in applications involving truly large-scale datasets. For a clustering problem with n samples, it needs to compute the eigenvectors of the graph Laplacian with O(n3) time complexity. To address this problem, we propose a novel method called anchor-based spectral clustering (ASC) by employing anchor points of data. Specifically, m (m<<n) anchor points are selected from the dataset, which can basically maintain the intrinsic (manifold) structure of the original data. Then a mapping matrix between the original data and the anchors is constructed. More importantly, it is proved that this data-anchor mapping matrix essentially preserves the clustering structure of the data. Based on this mapping matrix, it is easy to approximate the spectral embedding of the original data. The proposed method scales linearly relative to the size of the data but with low degradation of the clustering performance. The proposed method, ASC, is compared to the classical spectral clustering and two state-of-the-art accelerating methods, i.e., power iteration clustering and landmark-based spectral clustering, on 10 real-world applications under three evaluation metrics. Experimental results show that ASC is consistently faster than the classical spectral clustering with comparable clustering performance, and at least comparable with or better than the state-of-the-art methods on both effectiveness and efficiency.

Keywords： Clustering     Spectral clustering     Graph Laplacian     Anchors    

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Formation, distribution and resource evaluation of tight oil in China

Pang Zhenglian,Zou Caineng,Tao Shizhen,Yang Zhi,Wu Songtao

Strategic Study of CAE 2012, Volume 14, Issue 7,   Pages 60-67

Abstract:

The formation conditions and typical characteristics of oversea typical tight oil plays are analyzed systematically, which provides referential basis for the tight oil research in China. According to the study, typical tight oil plays oversea are characterized by “3 formation conditions” and “7 basic characteristics”. The 3 formation conditions include wide spread tight reservoir, wide distribution of sapropel type source rock with moderate maturation, close contact between continuous tight reservoir and high quality source rock. The 7 basic characteristics involve indefinite trap boundaries, no-buoyance accumulation and inapparent hydrodynamic effect as well as complicated distribution of oil and water, abnormal pressure and high production related to fractures, no-Darcy flow, short distance migration, nanometer-scale pore-throat connection system, horizontal wells and staged fracturing as vital technologies in the development of tight oil. Based on these two aspects, the formation conditions and typical characteristics of tight oil in China are studied, revealing the huge potential and good exploration prospect of tight oil in China.

Keywords： tight oil in China     exploration progress     forming conditions     typical characteristics     resource potential    

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Analysis on the technological innovation network formation and operation mechanism for the significant construction project

Wang Mengjun,Zhang Zhensen

Strategic Study of CAE 2011, Volume 13, Issue 8,   Pages 62-66

Abstract:

The characteristics and the present situation of significant construction project technological innovation are analyzed in this paper. The core problem restricting significant construction project technological innovation is dissected. The basic framework of significant construction project-oriented technological innovation network is set up. Then the starting point, evolution path and integration method are analyzed. And the dynamic mechanism, the collaborative mechanism and the learning mechanism are discussed,which can provide useful theoretic reference to establish the new inter-organization coordinated technological innovation mode, and to improve the technological innovation efficiency of significant construction project.

Keywords： significant construction project     technological innovation network     formation mechanism     operation mechanism    

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Coalition formation based on a task-oriented collaborative ability vector Article

Hao FANG,Shao-lei LU,Jie CHEN,Wen-jie CHEN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1,   Pages 139-148 doi: 10.1631/FITEE.1601608

Abstract: Coalition formation is an important coordination problem in multi-agent systems, and a proper description of collaborative abilities for agents is the basic and key precondition in handling this problem. In this paper, a model of task-oriented collaborative abilities is established, where five task-oriented abilities are extracted to form a collaborative ability vector. A task demand vector is also described. In addition, a method of coalition formation with stochastic mechanism is proposed to reduce excessive competitions. An artificial intelligent algorithm is proposed to compensate for the difference between the expected and actual task requirements, which could improve the cognitive capabilities of agents for human commands. Simulations show the effectiveness of the proposed model and the distributed artificial intelligent algorithm.

Keywords： Collaborative vector     Task allocation     Multi-agent system     Coalition formation     Artificial intelligence    

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Beamforming and fronthaul compression design for intelligent reflecting surface aided cloud radio access networks Research Article

Yu ZHANG, Xuelu WU, Hong PENG, Caijun ZHONG, Xiaoming CHEN,yzhang@zjut.edu.cn,ph@zjut.edu.cn,caijunzhong@zju.edu.cn,chen_xiaoming@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 1,   Pages 31-46 doi: 10.1631/FITEE.2100307

Abstract: Owing to the inherent central information processing and resource management ability, the is a promising network structure for an intelligent and simplified sixth-generation (6G) wireless network. Nevertheless, to further enhance the capacity and coverage, more radio remote heads (RRHs) as well as high-fidelity and low-latency fronthaul links are required, which may lead to high implementation cost. To address this issue, we propose to exploit the as an alternative way to enhance the C-RAN, which is a low-cost and energy-efficient option. Specifically, we consider the uplink transmission where multi-antenna users communicate with the baseband unit (BBU) pool through multi-antenna RRHs and multiple IRSs are deployed between the users and RRHs. RRHs can conduct either point-to-point (P2P) compression or Wyner-Ziv coding to compress the received signals, which are then forwarded to the BBU pool through fronthaul links. We investigate the joint design and optimization of user transmit beamformers, IRS passive beamformers, and noise covariance matrices to maximize the uplink sum rate subject to fronthaul capacity constraints under P2P compression and Wyner-Ziv coding. By exploiting the Arimoto-Blahut algorithm and semi-definite relaxation (SDR), we propose a successive convex approximation approach to solve non-convex problems, and two iterative algorithms corresponding to P2P compression and Wyner-Ziv coding are provided. Numerical results verify the performance gain brought about by deploying IRS in C-RAN and the superiority of the proposed joint design.

Keywords： Cloud radio access network (C-RAN)     Intelligent reflecting surface (IRS)     Transmit beamforming     Fronthaul compression    

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Title Author Date Type Operation

Dot-shaped beamforming analysis of subarray-based sin-FDA

Bo Wang, Jun-wei Xie, Jing Zhang, Jia-ang Ge,wb_wangbo1991@163.com

Journal Article

Optimization of a robust collaborative-relay beamforming design for simultaneous wireless information and power transfer

Lu-lu ZHAO, Xing-long JIANG, Li-min LI, Guo-qiang ZENG, Hui-jie LIU

Journal Article

Miniaturized Rotman lens with applications to wireless communication

Bao-hua SUN, Qiu-yan LIANG, Gao-nan ZHOU

Journal Article

FM Radio Based Non-cooperative Bistatic Radar Experimental System

Wang Yan

Journal Article

Properties of a general quaternion-valued gradient operator and its applications to signal processing

Meng-di Jiang, Yi Li, Wei Liu,w.liu@sheffield.ac.uk

Journal Article

Supermodular interference suppression game for multistatic MIMO radar networks and multiple jammers with multiple targets

Bin HE, Hongtao SU,aihebin19@163.com,suht@xidian.edu.cn

Journal Article

Low complexity robust adaptive beamforming for general-rank signal model with positive semidefinite constraint

Yu-tang ZHU,Yong-bo ZHAO,Jun LIU,Peng-lang SHUI

Journal Article

The zero-point energy of vibration and the Casimir force

Huang Zhixun

Journal Article

Robust generalized sidelobe canceller based on eigenanalysis and a MaxSINR beamformer

Quan-dong WANG, Liang-hao GUO, Wei-yu ZHANG, Sui-ling REN, Chao YAN

Journal Article

Study on the Mechanism and Cause Mode of the Karst Collapse——Taking Tai’an-Laiwu for Example

Gao Zongjun

Journal Article

An anchor-based spectral clustering method

Qin ZHANG, Guo-qiang ZHONG, Jun-yu DONG

Journal Article

Formation, distribution and resource evaluation of tight oil in China

Pang Zhenglian,Zou Caineng,Tao Shizhen,Yang Zhi,Wu Songtao

Journal Article

Analysis on the technological innovation network formation and operation mechanism for the significant construction project

Wang Mengjun,Zhang Zhensen

Journal Article

Coalition formation based on a task-oriented collaborative ability vector

Hao FANG,Shao-lei LU,Jie CHEN,Wen-jie CHEN

Journal Article

Beamforming and fronthaul compression design for intelligent reflecting surface aided cloud radio access networks

Yu ZHANG, Xuelu WU, Hong PENG, Caijun ZHONG, Xiaoming CHEN,yzhang@zjut.edu.cn,ph@zjut.edu.cn,caijunzhong@zju.edu.cn,chen_xiaoming@zju.edu.cn

Journal Article