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Low-complexity transmit antenna selection algorithm for massive MIMO

The Journal of China Universities of Posts and Telecommunications 2020年第5期27卷 63-68页

作者： Li Xinmin Li Guomin Liu Yang Guo Tian Li Pu Li Yarn School of Communication and Information Engineering Xi'an University of Science and TechnologyXi’an 710054China School of Electrical and Control Engineering Xi’an University of Science and TechnologyXi’an 710054China

Massive multiple input multiple output(MIMO)systems can increase capacity and reliability ***,extremely high hardware costs and computational complexity lead to the demand for reasonable antenna *** at the problem that the traditional antenna selection algorithm based on maximizing sum capacity has large complexity and worse bit error rate(BER)performance,a two-step selection algorithm is proposed,which selects a part of the antennas based on the norm-based antenna selection(NBS)firstly,and then selects the antenna based on maximizing capacity via convex *** simulation results show that the improved algorithm has better BER performance than the traditional *** the same time,it reduces computational complexity greatly.

关键词： massive MIMO transmit antenna selection convex optimization

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Building of numerical models and simulation research for magnetite core inductive sensor

Building of numerical models and simulation research for mag...

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International Conference on Electronic engineering and Information Science, ICEEIS 2015

作者： Wang, L.J. Han, Y.B. Chen, H.Q. Xiao, S.Y. Hui, D.D. Li, J.X. Sun, L.K. College of Measure-Control Technology and Communication Engineering Harbin University of Science and Technology Higher Educational Key Laboratory on Measuring & Control Technology and Instrumentations of Heilongjiang Province Harbin China Harbin Normal University High School Harbin China College of Geoscience and Surveying Engineering China University of Mining and Technology Beijing China College of Measure-Control Technology and Communication Engineering Harbin University of Science and Technology Harbin China

ISBN: (纸本)9781138027725

From perspective of magnetite iron core inductive sensor, iron grade’s quick detecting method for magnetite is given. Sensing mechanism of the sensor is analyzed. Magnetic field model is built, and numerical analytic expressions are given among magnetic induction intensity, inductance value and induced electromotive force of the iron core inductive sensor. By using the finite element energy method, numerical model of inductance of cylindrical solenoid iron core winding is solved. Boundary conditions are set according to geometric characteristics of the winding, and adopting ANSYS finite element analysis software, simulation models for windings of the iron grade sensor are built;influence regulations of changing of self-inductance coefficients of the winding on output inductance value of the sensor are gotten, furthermore, optimal combination of self-inductance coefficients of structure of the magnetite core inductance sensor is determined. The research lays foundation for ultimate realization of real-time monitoring of iron grade for the magnetite. © 2015 Taylor & Francis Group, London.

关键词： Finite element method

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Heptagonal core anti-resonant hollow-core fiber for laser beam mode shapers

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Chinese Optics Letters 2025年第4期23卷 040607-040607页

作者： Wang, Yang Zhang, Xiaobei Chen, Wei Zhang, Qi Yang, Yong Li, Maochun Yan, Miao Wang, Tingyun Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai Institute for Advanced Communication and Data Science School of Communication and Information Engineering Shanghai University Shanghai200444 China Laboratory of Science and Technology on Marine Navigation and Control China State Shipbuilding Corporation Tianjin300131 China

We report a novel anti-resonant hollow-core fiber (ARF) with a heptagonal core surrounded by connected cladding tubes, which is employed as a laser beam mode shaper. Cladding nodes are formed between each pair of adjacent cladding tubes, which efficiently enhances the mode coupling, thus significantly suppressing higher-order modes (HOMs) within a short fiber length. Numerical investigation and simulation for variations in the curvature of each node are conducted, through which an optimized structure of cladding nodes is obtained. Experimental results demonstrate that for a 1-m-long ARF-based mode shaper, the output beam quality M2 is enabled, and the near-diffraction-limit beam quality is 1.03. The ARF presents a maximum average transmission power of 600 mW, achieving a total coupling efficiency of approximately 85%. Moreover, it is maintained for one hour without inducing any damage while maintaining beam quality. These results highlight the great potential of the mode shaper in applications such as laser surgery, precision welding, and laser writing. © 2025 Chinese Optics Letters.

关键词： Laser beams

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Open World Recognition of communication Jamming Signals

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China communications 2023年第6期20卷 199-214页

作者： Yan Tang Zhijin Zhao Jie Chen Shilian Zheng Xueyi Ye Caiyi Lou Xiaoniu Yang School of Communication Engineering Hangzhou Dianzi UniversityHangzhou 310018China Science and Technology on Communication Information Security Control Laboratory Jiaxing 314033China

To improve the recognition ability of communication jamming signals,Siamese Neural Network-based Open World Recognition(SNNOWR)is *** algorithm can recognize known jamming classes,detect new(unknown)jamming classes,and unsupervised cluseter new *** network of SNN-OWR is trained supervised with paired input data consisting of two samples from a known *** the one hand,the network is required to have the ability to distinguish whether two samples are from the same *** the other hand,the latent distribution of known class is forced to approach their own unique Gaussian distribution,which is prepared for the subsequent open set *** the test,the unknown class detection process based on Gaussian probability density function threshold is designed,and an unsupervised clustering algorithm of the unknown jamming is realized by using the prior knowledge of known *** simulation results show that when the jamming-to-noise ratio is more than 0d B,the accuracy of SNN-OWR algorithm for known jamming classes recognition,unknown jamming detection and unsupervised clustering of unknown jamming is about 95%.This indicates that the SNN-OWR algorithm can make the effect of the recognition of unknown jamming be almost the same as that of known jamming.

关键词： communication jamming signals Siamese Neural Network Open World Recognition unsupervised clustering of new jamming type Gaussian probability density function

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Design of automatic positioning system based on multi-sensor for big crane-form pipeline

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4th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2010

作者： Yu, Hong Yang, Junqing School of Measure-Control Technology and Communication Engineering Harbin Univ. of Sci. and Tech. Harbin 150040 China School of Environment and Chemical Engineering Nanchang University China

ISBN: (纸本)9787121113154

Automatic positioning system for big crane-form pipeline is mainly to achieve the precise positioning of circular opening and big crane-form pipeline, and it's also the auxiliary system of achieving automatic loading. In order to speed up the positioning and improve its precision, the system is designed to use a combined method of infrared and machine vision;infra-red is used to quickly positioning, while template matching and circle center detection are used to precise positioning. The system transmits the data of position of circular opening to PLC through serial port. And then, the big crane-form pipeline is controlled to backward, forward, lower and transport oil by PLC. The positioning of the system is precise and express.

关键词： Edge detection

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Sidelobe suppression approach at subarray level for sum and difference beam without analog weighting

Sidelobe suppression approach at subarray level for sum and ...

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2012 5th Global Symposium on Millimeter-Waves, GSMM 2012

作者： Hu, Hang Gao, Conghui Yu, Xiaoyang School of Electronics and Information Technology Harbin Institute of Technology Harbin 150001 China College of Measure and Control Technology and Communication Engineering Habrin University of Sience and Technology Harbin 150001 China

ISBN: (纸本)9781467313032

In phased array at subarray level with monopulse technology, generally, analog weighting at element level are adopted for sidelobe suppression of patterns, while digital weighting at subarray level for adaptive processing. This paper studies the sidelobe suppression method for sum and difference beam by using only subarray level weighting instead of analog weighting, which is most of interest for the reduction of hardware cost and complexity. A new approach is presented, which adopts genetic algorithm (GA) to optimize weights vector at subarray level for sum and difference beam, and the encoding scheme, constitution of fitness function, and realization of genetic optimization are also given. Simulation results demonstrate that the proposed method can suppress sidelobe of patterns effectively, especially for sum beam. © 2012 IEEE.

关键词： Genetic algorithms

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Joint channel assignment and cross-layer routing protocol for multi-radio multi-channel Ad Hoc networks

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Journal of Systems engineering and Electronics 2010年第6期21卷 1095-1102页

作者： Yang Lu Junming Guan Zhen Wei Qilin Wu School of Computer and Information Hefei University of Technology Heifei 230009 P. R. China Engineering Research Center of Safety Critical Industry Measure and Control Technology of Ministry of Education Hefei 230009 E R. China

To study multi-radio multi-channel （MR-MC） Ad Hoc networks based on 802.11, an efficient cross-layer routing protocol with the function of joint channel assignment, called joint channel assignment and cross-layer routing （JCACR）, is presented. Firstly, this paper introduces a new concept called channel utilization percentage （CUP）, which is for measuring the contention level of different channels in a node’s neighborhood, and deduces its optimal value for determining whether a channel is overloaded or not. Then, a metric parameter named channel selection metric （CSM） is designed, which actually reffects not only the channel status but also corresponding node’s capacity to seize it. JCACR evaluates channel assignment by CSM, performs a local optimization by assigning each node a channel with the smaller CSM value, and changes the working channel dynamically when the channel is overloaded. Therefore, the network load balancing can be achieved. In addition, simulation shows that, when compared with the protocol of weighted cumulative expected transfer time （WCETT）, the new protocol can improve the network throughput and reduce the end-to-end average delay with fewer overheads.

关键词： Ad Hoc network multi-radio multi-channel channel assignment routing protocol channel utilization percentage.

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Study for generalized sidelobe canceller at subarray level based on householder transformation

Study for generalized sidelobe canceller at subarray level b...

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2012 5th Global Symposium on Millimeter-Waves, GSMM 2012

ISBN: (纸本)9781467313032

Adaptive digital beamforming(ADBF) at subarray level is one of crucial techniques for phased array radar. Generalized sidelobe canceller(GSLC) at subarray level is an effective solution in the presence of array imperfections such as amplitude and phase errors, while the key lies in appropriate blocking matrix(BM) to block desired signal and adaptive weights for suppressing jammers. While at subarray level, using conventional BM will degrade the performance of beam such as that notch deviates for phase errors and signal-to-interference- plus-noise ratio(SINR) loses. This paper presents an implementation for GSLC configuration at subarray level by utilizing Householder transformation to determine BM. Simulation results demonstrate that the proposed method can raise SINR obviously and is insensitive to channel errors even if to phase ones. © 2012 IEEE.

关键词： Signal to noise ratio

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Mask R-CNN based deep learning analysis on in-situ measured crystal images with automatic dataset labelling 41

Mask R-CNN based deep learning analysis on in-situ measured ...

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第41届中国控制会议

作者： Chen Jiang Tao Liu Timing Yang Zhenyu Jiang Honglin Liu School of Control Science and Engineering Dalian University of Technology School of Information and Communication Engineering Dalian University of Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

For real-time measurement of crystal size distribution(CSD) by in-situ captured crystal images,a deep-learning based image analysis method is proposed to improve measurement accuracy and efficiency,based on the well recognized maskregional convolutional neural network(Mask R-CNN).An automatic dataset labelling algorithm is established to facilitate preparing the training dataset that is required to include a large number of crystal image samples for effective deep ***,an image thresholding segmentation algorithm is introduced to extract the region of interest(ROI) in each crystal image sample for training the Mask R-CNN,such that improved segmentation accuracy and efficiency could be obtained for online image analysis to measure CSD during a crystallization *** results on measuring the crystallization process of β form L-glutamic acid(β-LGA) are shown to verify the effectiveness and advantage of the proposed method.

关键词： crystal image analysis in-situ measurement Mask R-CNN image labelling crystal size distribution L-glutamic acid crystallization process

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Analysis of data mining method for near infrared spectral data of dairy products based orthogonality

Analysis of data mining method for near infrared spectral da...

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2014 International Conference on Electronic engineering and Information Science, ICEEIS 2014

作者： Wang, Li Jie Zhou, Zhen Qin, Yong Yin, Jin Ying Guo, Jian Ying Dong, Wen Ning Wang, Dan College of measure-control technology and communication engineering Harbin university of science and technology China The higher educational key laboratory on measuring Control technology and instrumentations of Heilongjiang province China

ISBN: (纸本)9783038351467

There are advantages such as real time, quick, multi-constituents simultaneous measurement, green and no pollution, and so on, of using near infrared spectral method to detect concentration information of dairy products constituents. From time domain and frequency domain, near infrared spectral data mining methods based on orthogonality were separately researched to realize noise filtering and useful information extracting. For milk spectrum, methods in the time domain including Orthogonal Signal Correction and Direct Orthogonalization, Wavelet Transform de-noising method in the frequency domain, were separately explored and used in spectral preprocessing, PLS method was used to build calibration model, and processing effect of different data mining methods was compared with and analyzed. It is showed that in the time domain, using the orthogonality methods to make data mining for milk spectrum, the complex interfering signal and noise information uncorrelated with the measured constituents can be can reduced effectively, and the correlated information with the measured constituents is reserved in maximal limitation, prediction capability of calibration model is improved, furthermore, the Orthogonal Signal Correction method is better than the Direct Orthogonalization method, moreover, in the frequency domain, wavelet de-noising is better than the orthogonality methods within the time domain. © (2014) Trans Tech Publications, Switzerland.

关键词： Spectrum analysis

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