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Pilot decontamination in massive MIMO systems based on pilot design and allocation

International Journal of Performability engineering 2019年第10期15卷 2753-2761页

作者： Dong, Jingwei Han, Zhiyu Han, Chuang School of Measure-Control Technology and Communication Engineering Harbin University of Science and Technology Harbin150080 China

Pilot contamination has become an important factor affecting the development of massive MIMO. To mitigate pilot contamination, a new scheme of joint polar coordinate pilot assignment and pseudo random code pilot design is proposed in this paper. The scheme allocates the pilot according to the size of the user's polar angle, which is marked with polar coordinates, and uses pseudo random codes with different time delays to add disturbance to users that share the same pilot sequence and users of neighboring cells so as to improve the accuracy of channel estimation. Through theoretical derivation and data simulation analysis of minimum mean square error (MMSE) channel estimation of the system, the scheme can significantly reduce the mean square error (MSE) of channel estimation and improve the signal-to-noise ratio and average transmission rate of uplink transmission. Thus, the adverse effect of pilot contamination on channel estimation is reduced, and the channel throughput is improved. © 2019 Totem Publisher, Inc. All rights reserved.

关键词： MIMO systems

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Optimization Algorithm of RGB-D SLAM Visual Odometry based on Triangulation

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International Journal of Performability engineering 2020年第3期16卷 438-445页

作者： Dong, Jingwei Jiang, Yiming Han, Zhiyu School of Measure Control Technology and Communication Engineering Harbin University of Science and Technology Harbin150080 China

In this paper, an improved RGB-D SLAM scheme is proposed to solve the problems of great tracking error, long time-consuming in front-end, and high pressure of algorithm in back-end. The realization scheme is mainly aimed at improving the visual odometry. First, the ORB extraction algorithm is used to extract the feature points of the current frame and calculate the descriptors. Then, the current frame is matched with the local map by descriptors, and the matched feature points are added to the local map. Finally, the camera pose is calculated by the PnP algorithm. In order to ensure the tracking accuracy, a triangulation algorithm is proposed to optimize the depth value of map points in the local map. A series of fr1 datasets in the tum database are tested. The experimental results show that the real-time performance is guaranteed, and the RMSE (root mean square error) in the tracking process is reduced by 9% on average. Moreover, the image indexes of the point cloud image generated in the tracking process are also significantly improved. © 2020 Totem Publisher, Inc. All rights reserved.

关键词： Triangulation

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A novel airplane detection algorithm based on deep CNN 4th

A novel airplane detection algorithm based on deep CNN

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4th International Conference of Pioneer Computer Scientists, Engineers and Educators, ICPCSEE 2018

作者： Wang, Ying Wang, Aili Hu, Changyu Higher Education Key Lab for Measure and Control Technology and Instrumentations of Heilongjiang Harbin University of Science and Technology Harbin150080 China Department of Communication Engineering Nanjing University of Aeronautics and Astronautics Nanjing210016 China

ISBN: (纸本)9789811322020

Driven by the massive natural scene image and computer’s high speed computation ability, deep CNN becomes the mainstream method for completing the computer vision task by the power of feature representation capability. Because object detections based on deep CNN are unable to achieve optimization due to lack of training set of remote sensing images, a novel method based on transfer learning and deep CNN combined with SVM is proposed in this paper. Firstly, we obtain the deep CNN model AlexNet trained on a large-scale data set. Then, we truncate the first five convolution layers and get the initial parameters through transfer learning. Then, Deep CNN is used as feature extractor to extract the depth feature for training SVM, and the final remote sensing image airplane detection model is obtained. Experimental results show that the average precision of the proposed algorithm outperforms other traditional algorithms. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Remote sensing

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A Novel Airplane Detection Algorithm Based on Deep CNN

A Novel Airplane Detection Algorithm Based on Deep CNN

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2018国际计算机前沿大会（原国际青年计算机大会）

作者： Ying Wang Aili Wang Changyu Hu Higher Education Key Lab for Measure and Control Technology and Instrumentations of Heilongjiang Harbin University of Science and Technology Department of Communication Engineering Nanjing University of Aeronautics and Astronautics

Driven by the massive natural scene image and computer's high speed computation ability, deep CNN becomes the mainstream method for completing the computer vision task by the power of feature representation *** object detections based on deep CNN are unable to achieve optimization due to lack of training set of remote sensing images, a novel method based on transfer learning and deep CNN combined with SVM is proposed in this ***, we obtain the deep CNN model AlexNet trained on a large-scale data ***, we truncate the first five convolution layers and get the initial parameters through transfer learning. Then, Deep CNN is used as feature extractor to extract the depth feature for training SVM, and the final remote sensing image airplane detection model is obtained. Experimental results show that the average precision of the proposed algorithm outperforms other traditional algorithms.

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Research of particle size identification based on blind source separation

Modelling, Measurement and Control A

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Modelling, measurement and control A 2017年第1期90卷 32-43页

作者： Wu, Juan Zhou, Zhen Yang, Xu Hu, Junlei College of Measure-Control Technology and Communication Engineering Harbin University of Science and Technology Harbin150040 China Shanghai Institute of Measurement and Testing Technology Shanghai China

Aiming at effectively identifyingthe different particle sizes of single particlesof the same kind and eliminating the interference of redundant and noise components in the light scatteringsignals, this paper puts forward a single particle size detection method by processing the light scatteringsignalsof particleswith blind source *** shown in the test results, the research object, a single-spherical PTFEpellet(4μm in particle size), contains noise and redundant angular intensity scattering signals. The scattering signals are decomposed into by empirical mode 8 components, which respectively serve as the virtual multi-source signals for blind source *** redundant noises in different channels are removed by the ICA algorithm to produce the noiseless and non-redundant light scattering signals. Such signals bear the information on the type of particles, and provide a reliable signal source for further, accurate measurement of particle size. It is demonstrated in the simulation experiment and the engineering example that the blind source separation method not only applies to identification of signal source, but also reduces the noise, improves the signal-to-noise ratio (SNR) of the signal, and suppresses the interference in the light scattering signals from redundant and nose components.

关键词： Blind source separation

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Personnel localization algorithm of prison supervision system based on RFID

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International Journal of Smart Home 2016年第12期10卷 77-84页

作者： Yuping, Zhang Ying, Chang Chen, Li Zhong, Zhang College of Measure-Control Tech. and Communication Engineering of Harbin University of Science Technology The Higher Educational Key Laboratory for Measuring Control Technology and Instrumentations of Heilongjiang Province Harbin150080 China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin150001 China

The particularity of the prison decides the importance of its security system, and how to improve the accuracy of personnel positioning for prison monitoring system is the problem to be solved to realize intelligent prison monitoring management. RFID positioning technology with non line-of-sight transmission and large transmission range is widely applied in the personnel positioning system. RFID technology is used to design the monitoring and management system of prison in this paper. The Trilateral Ranging Method was adopted to realize personnel positioning. RSSI positioning algorithm its technology is relatively simple was adopted when calculating the trilateral distance and correcting the errors in order to improve the positioning precision. Simulation test results show that the positioning precision for the distance between a single reader and the tag is increased by 2.17% on average, up to 4.54% after the error correction. The personnel location coordinates, X direction average error is 2.96%, average error is 3.12%, Y direction, and meeting the requirements of the system design. © 2016 SERSC.

关键词： Radio frequency identification (RFID)

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Design of a flyback switching power for smart meter

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International Journal of Smart Home 2016年第9期10卷 207-216页

作者： Jian-Ying, Fan Yu-Ling, Zhang Dong-Qing, Shi The higher educational key labortory School of Measure-control Technology and Communication Engineering of Heilongjiang Province Harbin University of Science and Technology Harbin150080 China Heilongjiang Province Electronic Information Products Supervision Inspection Institute Harbin150080 China

With switching power supply being widely used in Smart Meter, there exists more restrictions on the performance of it. This paper designs a single-ended flyback switching power supply based on LNK364DN chips which is used in intelligent single-phase table, Compares the advantages and disadvantages of the switching power supply and the traditional linear regulated power supply, and introduces the reaction type switching power supply design principle and working process. In order to satisfy the security requirements, this paper also designs the EMI suppression circuit, surge suppression current, clamp circuit, etc. The design process, including the maximum duty cycle including transformer, the primary inductance calculation, etc, of the flyback type switch power supply transformer is introduced in detail. The experimental results show that the switch regulated power supply has small volume, good electromagnetic compatibility, small ripple, low power consumption, high efficiency of AC/DC transform and excellent performance .

关键词： Energy efficiency

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A realization method of rotating speed measurement based on different M/T

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AIP Conference Proceedings 2017年第1期1829卷

作者： Jingbo Xu Xianyu Yin Xiaomeng Cui Zhiliang Liu 1School of Measure-control Technology & Communication Engineering Harbin University of Science and Technology Harbin Heilongjiang 150080 China 2State Key Laboratory of Hydropower Equipment Harbin Institute of Large Electrical Machinery Harbin Heilongjiang 150046 China

A realization method for rotating speed measurement is put forward in this paper. Timer 1 of STM32F103 is used to count the external pulses and its timer 2 is used to count the internal clock pulses. Two timers are set in master-slaver synchronous mode, and the rotating speed is computed based on different M/T method. This realization method can ensure the two timers strictly synchronously work, and the counting value of the master timer can also be set dynamically according to rotating speed. This method has high measurement accuracy and wide measurement range, and is easy to realize.

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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...

引用

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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Fundamental frequency tracking of distorted power signal based on the improved EKF algorithm

International Journal of Multimedia and Ubiquitous Engineeri...

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International Journal of Multimedia and Ubiquitous engineering 2015年第10期10卷 1-10页

作者： Xiaobing, Zhang Mengchen, Yang Yixin, Yan Guozhi, Fang College of Measure-control Technology and Communication Engineering Harbin University of Science and Technology Harbin China

To reduce the impacts of harmonics and noises on frequency measurements, a novel method of frequency tracking is presented based on improved EKF algorithm and wavelet transform. Firstly, the power signal was preprocessed to extract the fundamental wave by wavelet filtering. Then, an improved Extended Kalman Filter was introduced to achieve fast and accurate frequency tracking. By adding a robust factor and modifying the covariance matrix in real time, it enhanced the stability for detecting distorted signals. The proposed tracking algorithm can effectively solve the problems of traditional Extended Kalman Filter such as lack of adaptability, instability and divergence. And it improved the tracking speed and accuracy. Finally, Detailed simulations on several typical models of power signals have been carried out and the Simulation results shown that the new algorithm increases the speed, convergence and accuracy. It effectively suppresses the impacts of harmonics and noises on the frequency tracking results. © 2015 SERSC.

关键词： Wavelet transforms

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