Abstract:Recently, indoor positioning and location-based service have attracted considerable attentions. In harsh indoor environment, non-line-of-sight (NLOS) propagation might cause serious localization bias. Therefore, an efficient method for screening line-of-sight (LOS) measurements is necessary for reliable positioning. In this paper, a novel LOS identification scheme, in which the geometric relationship between position error and angle of arrival (AOA) and the infomation of separated multipath are utilized, is proposed. Specifically, the identification procedure can be divided into three steps. Firstly, range measurements that may contain NLOS bias are used to obtain coarse location. Secondly, we derive a LOS confidence region about the two-dimensional AOA base on the initial coarse position, with the region threshold related to the initial positioning error and estimated AOA deviation. After filtering out the NLOS measurements, an improved two step weighted least squares (TSWLS) position estimator base on time difference of arrival (TDOA) and AOA is developed and used for accurately positioning. Simulation results reveal that the proposed algorithms can yield a high LOS/NLOS identification accuracy and localization precision.

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	1. OFDM based LOS Identification and Indoor Positioning
	Chen Xutao ,Tian Hui
	Electrics, Communication and Autocontrol Technology 17 June 2022
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	Abstract:Recently, indoor positioning and location-based service have attracted considerable attentions. In harsh indoor environment, non-line-of-sight (NLOS) propagation might cause serious localization bias. Therefore, an efficient method for screening line-of-sight (LOS) measurements is necessary for reliable positioning. In this paper, a novel LOS identification scheme, in which the geometric relationship between position error and angle of arrival (AOA) and the infomation of separated multipath are utilized, is proposed. Specifically, the identification procedure can be divided into three steps. Firstly, range measurements that may contain NLOS bias are used to obtain coarse location. Secondly, we derive a LOS confidence region about the two-dimensional AOA base on the initial coarse position, with the region threshold related to the initial positioning error and estimated AOA deviation. After filtering out the NLOS measurements, an improved two step weighted least squares (TSWLS) position estimator base on time difference of arrival (TDOA) and AOA is developed and used for accurately positioning. Simulation results reveal that the proposed algorithms can yield a high LOS/NLOS identification accuracy and localization precision.
	TO cite this article:Chen Xutao ,Tian Hui . OFDM based LOS Identification and Indoor Positioning[OL].[17 June 2022] http://en.paper.edu.cn/en_releasepaper/content/4758014


	2. Nonlinear Statistical Convolutional Neural \\Network for Transmitter Identification \\ Under Noise Conditions
	Tianzi Li,Sai Huang
	Electrics, Communication and Autocontrol Technology 20 January 2022
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	Abstract:Recently, identifying communication transmitters using deep neural networks under complicated wireless environments has received much attention. Since there is no public dataset to measure the performance of the deep learning algorithm, we construct a transmitter dataset based on various non-linearity of power amplifiers.In traditional methods, handicraft features and parameters need to be estimated to classify the transmitters, which are easily affected by noise conditions.Therefore, a Convolutional Neural Network (CNN) based method called Nonlinear Statistical CNN (NSCNN) that requires no prior knowledge of the transmitter model is utilized. By preprocessing the received signals, the nonlinear statistical properties of different signals within the signal are extracted.Extensive simulation shows the superiority of the proposed method, and the performance is close to the optimal maximum likelihood method. Finally, the results of the received signals using different algorithms and symbol lengths are also discussed.
	TO cite this article:Tianzi Li,Sai Huang. Nonlinear Statistical Convolutional Neural \\Network for Transmitter Identification \\ Under Noise Conditions[OL].[20 January 2022] http://en.paper.edu.cn/en_releasepaper/content/4756147

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	3. An Applicable Scheme Employing Bispectrum and Convolutional Neural Network for Individual RF Fingerprint Identification
	ZHANG Yi-Ru,PAN Yu-Wen,YANG Yuan-Wang,WANG Bing-Cheng,WANG Bing-Cheng
	Electrics, Communication and Autocontrol Technology 23 March 2021
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	Abstract:In the background of artificial intelligence (AI) being widely applied, radio frequency (RF) fingerprint identification employing AI has become a trend. This paper mainly focuses on ways to process and identify RF signal transmitters. Contrapose to traditional RF fingerprint feature extracting and identifying methods, a method for modeling and extracting the RF signals features using integral bispectrum firstly was raised. Afterwards, A convolutional neural network has been proposed for classification of the RF individual transmitters. For verification, several mobile phones (with same or different type/brand) signals were processed by the above methods. The experiments results show that the proposed methods make up the weaknesses in accuracy and efficiency of previous used GBDT, XGBoost, and stacking algorithms. Moreover, the signal model derived by the proposed methods can describe individual signal transmitter with same type and brand, which is superior to signal model mentioned in references and has great significance in individual RF fingerprint identification.
	TO cite this article:ZHANG Yi-Ru,PAN Yu-Wen,YANG Yuan-Wang, et al. An Applicable Scheme Employing Bispectrum and Convolutional Neural Network for Individual RF Fingerprint Identification[OL].[23 March 2021] http://en.paper.edu.cn/en_releasepaper/content/4754163


	4. First-principle Study on Transport Properties of 2D Janus NbSeTe-MoSeTe-NbSeTe Lateral Heterostructure
	ZHENG Yanan,YE Han
	Electrics, Communication and Autocontrol Technology 11 March 2021
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	Abstract:Two dimensional transition metal chalcogenides have important application prospects in optoelectronic devices, energy storage, catalysis and other fields due to their excellent properties. The research on this material covers its electronic properties, optical properties and so on, but the related research on transport properties is less. The electronic properties and applications of materials largely depend on their crystal structures. In this project, the first principles density functional theory and non-equilibrium Green\'s function are used to calculate the quantum transport of NbSeTe- MoSeTe- NbSeTe transport structure, and we study its electronic transport properties. By applying bias voltage to the electrode, the difference of transmission coefficient under different bias voltage and the relationship between current and bias voltage are discussed. By the means of analyzing the transmission spectrum of the non-equilibrium state of the device, we can understand the quantum transport properties of non-equilibrium state. When the bias voltage is less than 60mV, the transmission coefficient spectrum has no obvious change; while in 80mV or 100mV, it becomes larger having a positive effect on the current.
	TO cite this article:ZHENG Yanan,YE Han. First-principle Study on Transport Properties of 2D Janus NbSeTe-MoSeTe-NbSeTe Lateral Heterostructure[OL].[11 March 2021] http://en.paper.edu.cn/en_releasepaper/content/4754044


	5. Trajectory Design for Multi-UAV Aided Communication with Actor-critic-based Reinforcement Learning
	CHEN Ze-Chao,GUO Yi-Jun
	Electrics, Communication and Autocontrol Technology 01 March 2021
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	Abstract:In this paper, the trajectory design problem is investigated in wireless communications aided by multiple unmanned aerial vehicles (UAVs), and a multi-UAV trajectory design method called multi-agent twin delayed deep deterministic policy gradient (MA-TD3) is proposed which is able to design continuous trajectories without pre-knowledge of global information such as user locations and channel conditions, through integrating the multi-agent deep deterministic policy gradient (MADDPG) algorithm and twin delayed deep deterministic policy gradient (TD3) algorithm based on actor-critic reinforcement learning (RL) framework. In particular, the multi-UAV trajectory design problem is firstly formulated as a stochastic game (SG) to maximize the completion rate of the transmission tasks. Then, the MA-TD3 method is proposed which is based on the actor-critic RL framework and the learned trajectory is obtained successively. Numerical results show that compared to traditional single agent RL methods, the proposed MA-TD3 method achieves higher completion rate of the transmission tasks by enabling cooperation between multiple UAVs through centralized training and distributed execution.
	TO cite this article:CHEN Ze-Chao,GUO Yi-Jun. Trajectory Design for Multi-UAV Aided Communication with Actor-critic-based Reinforcement Learning[OL].[ 1 March 2021] http://en.paper.edu.cn/en_releasepaper/content/4753773


	6. OTDR optical cable line interruption monitoring and transformer temperature warning system based on FBG
	AN Yuxian,ZHANG Zhiguo,REN Wei,ZHOU Wenting,WANG Xin,CHEN Shuo,SUN Shaohua,YANG Linhui
	Electrics, Communication and Autocontrol Technology 03 February 2021
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	Abstract:This paper proposes a new cable interruption monitoring and transformer temperature warning system combined fiber Bragg grating (FBG) with optical time-domain reflectometer (OTDR).This new system coupled with FBG, and the OTDR active detection of optical cable line is optimized to trigger monitoring of line interruption.It improves the shortcomings of traditional optical cable interruption detection system,such as short service life of OTDR, long response time and not supporting large-scale detection.In the state of no power supply,this joint monitoring system can realize temperature early warning of transformer and achieve response in seconds in the actual application scenario.
	TO cite this article:AN Yuxian,ZHANG Zhiguo,REN Wei, et al. OTDR optical cable line interruption monitoring and transformer temperature warning system based on FBG[OL].[ 3 February 2021] http://en.paper.edu.cn/en_releasepaper/content/4753617


	7. A Power-Over-Fiber System with Low Consumption Multi-Sensing for Remote Monitoring Equipment
	Yuemei Li,Zhiguo Zhang,Luming Li,Ziyang Xiao
	Electrics, Communication and Autocontrol Technology 01 February 2021
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	Abstract:In this study, we develop a novel multi-sensing functional system based on Power-Over-Fiber (POF) technique. This system is characterized by its versatility, ultra low energy harvesting and management and remote equipment low consumption. An unusual energy management unit is designed, applied, and realized ultra-low energy collection. We use gallium arsenide as the photoelectric (PV) conversion unit in the system and design intelligent ultra-low power management unit utilization and management the energy of laser power into electricity. It provides a clever idea to solving power requirement of high consumption sensing equipment and promotes the practical application of the POF technology. To using energy more efficiently, a simulation model based on finite elements has been developed for the photovoltaic system. It presents a comprehensive numerical investigation on the effect of the performance of the photovoltaic cell using COMSOL 5.5 Multiphysics software. In addition, it has been used in water monitoring and data transmission stably for a long time.
	TO cite this article:Yuemei Li,Zhiguo Zhang,Luming Li, et al. A Power-Over-Fiber System with Low Consumption Multi-Sensing for Remote Monitoring Equipment[OL].[ 1 February 2021] http://en.paper.edu.cn/en_releasepaper/content/4753652


	8. 2-D Pair-Matching Method for L-shaped Array Based on CS Theory
	YU Xiaoyou,JIANG Yalin
	Electrics, Communication and Autocontrol Technology 13 May 2020
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	Abstract:To address the problems of high computational complexity and angle mismatch in 2-D DOA estimation using CS theory in the intelligent vehicle radar communication integrated system, this paper proposes a new method based on compressed sensing. Combined with the particularity of L-shaped array structure, this method firstly uses SVD processing to obtain a low-dimensional data matrix; secondly, defines the spatial synthesis angle for secondary dimensionality reduction; then uses the OMP algorithm and mathematical geometry to inversely obtain sparse parameters; finally, the subspace projection is used to achieve angle matching, so as to obtain the correct 2-D DOA estimation result. The theoretical derivation and experimental simulations show that this algorithm greatly reduces the computational complexity and improves the probability of pairing success. It also has obvious advantages for different SNR, array element number and snapshot number.
	TO cite this article:YU Xiaoyou,JIANG Yalin. 2-D Pair-Matching Method for L-shaped Array Based on CS Theory[OL].[13 May 2020] http://en.paper.edu.cn/en_releasepaper/content/4752071


	9. Research on DOA Estimation Algorithm Based on Sparse Spatial Fusion
	YU Xiao-You,JIANG Ya-Lin
	Electrics, Communication and Autocontrol Technology 13 May 2020
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	Abstract:The note on the theory of using the compressed sensing theory to estimate the angle of arrival of the array signal in the intelligent vehicle system based on radar-communication is the spatial sparse partitioning and the optimization of the sparse reconstruction algorithm. Different partitioning methods will result in different array flow patterns, and the construction of array flow patterns is the basis of algorithm estimation. At present, the establishment of the sparse model is simply based on the equal angle or the equal sinusoidal division method. However, in the normal and end-fire directions, the orthogonality of the two is different, and the estimation results are also different. To this end, this paper designs a spatial sparse partitioning model combining the equal sinusoidal and the equal angle division. The simulation shows that this model has certain advantages compared with the traditional division method. In addition, in order to optimize the performance of the SAMP algorithm in integrated systems, this paper proposes an improved matching tracking algorithm. Based on the SAMP algorithm, this algorithm sets strict comparison of residual values as termination conditions, and automatically adjusts the number of atoms in the candidate set through an adaptive process to achieve accurate signal reconstruction. The theoretical derivation and experimental simulations show that this algorithm has obvious benifits in terms of operation speed and reconstruction accuracy while maintaining the advantages of this original algorithm.
	TO cite this article:YU Xiao-You,JIANG Ya-Lin. Research on DOA Estimation Algorithm Based on Sparse Spatial Fusion[OL].[13 May 2020] http://en.paper.edu.cn/en_releasepaper/content/4751929


	10. The Outage Behavior of Decode-and-Forward Relaying in Diffusion-Based Molecular Communication
	Cui Yanxu,Song Zhengxun,Lang Baihe,Guan Tianfu,Lin Jiaqian
	Electrics, Communication and Autocontrol Technology 08 April 2020
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	Abstract:In this paper, the outage behavior of a decode-and-forward (DF) relaying network is studied in a two-hop diffusion-based molecular communication (MC) system. The MC system can be characterized by outage probability and outage events. Based on this event and probability, the robustness of the transmissions to fading is measured. Specifically, according to Shannon\'s capacity theorem and Fick\'s law, the outage probability of fading channels is investigated. The distribution characteristics of the channel gain is considered based on the proposed relaying system. The analysis of this article can be useful for the performance optimization of MC system.
	TO cite this article:Cui Yanxu,Song Zhengxun,Lang Baihe, et al. The Outage Behavior of Decode-and-Forward Relaying in Diffusion-Based Molecular Communication[OL].[ 8 April 2020] http://en.paper.edu.cn/en_releasepaper/content/4751511

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