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. 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

Saved Papers

Saved Papers


	3. 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


	4. 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


	5. 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


	6. Research on the design and application of OpenAirInterface hardware demo platform
	MAI Sihang,PENG Mugen
	Electrics, Communication and Autocontrol Technology 09 May 2018
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	Abstract:OpenAirInterface, or OAI, platform, which is an open-source software-based platform, was proposed to emulate a whole process of LTE system spanning full protocol stack of 3GPP standard. The platform--usually comprises of an OAI eNB, an OAI EPC and several OAI UEs--has great potential for operators to deploy new services/application in an ever-changing fast paced cellular networks, since it can significantly reduce CAPEX and OPEX. As a cost-effective means, it provides powerful support for the research of other related LTE technologies. In this article, state-of-the-art research on OAI platform are surveyed, and other technologies based on the platform, such as MIMO and C-RAN, are introduced. In particular, we discuss both of the software and hardware requirements when establish an OAI platform. As for each component of the whole network, we display how they configure and run under the Linux operating system. At the end of the article, we show three examples of application based on a testbed we design including two OAI UEs and an OAI eNB, from which the performance gain of LTE is well demonstrated.
	TO cite this article:MAI Sihang,PENG Mugen. Research on the design and application of OpenAirInterface hardware demo platform[OL].[ 9 May 2018] http://en.paper.edu.cn/en_releasepaper/content/4744873


	7. The Rate Analysis of NB-IoT Uplink Shared Channel
	MA Huifang,ZHANG Jianming
	Electrics, Communication and Autocontrol Technology 04 September 2017
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	Abstract:With the internet of thing market growing rapidly, the low rate applications occupy most of the connections of IoT. However, existing network techniques can\'t match them very well. NB-IoT owning wide coverage, low power, low cost, large connection, stands out from many candidates for low rate applications. Based on the analysis of the characteristics of NB-IoT technology, this paper deeply studies the coverage of NB-IoT by combining the features of uplink (UP) / downlink (DL) frame structure, multiplexing method and scheduling unit used by narrowband IoT (NB-IoT). Firstly, the uplink and downlink rate ability were analyzed .Then, according to the rate requirement, the coverage capability, cell capacity and throughput were quantitatively analyzed and suggestions about the NB-IoT network planning were given.
	TO cite this article:MA Huifang,ZHANG Jianming. The Rate Analysis of NB-IoT Uplink Shared Channel[OL].[ 4 September 2017] http://en.paper.edu.cn/en_releasepaper/content/4741351


	8. A Location Data Filter Data Fusion and Normalization Method
	LI Ning,GONG Bin,DENG Zhongliang,ZHANG Senjie
	Electrics, Communication and Autocontrol Technology 02 December 2016
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	Abstract:Different positioning methods currently have limitations in respective application scenarios, so the integration of positioning has become a hot topic. In terms of data integration, inconsistent and fluctuations of the positioning data makes it difficult when fit the data. To solve this problem, the paper presents a method for position data filtering and data fusion normalization. Firstly, heterogeneous data sets are filtered with R-EWMA algorithm to obtain higher quality fusional data, and then fusion data are normalized with a modified Z-score normalization method without affecting the positioning accuracy and confidence. The study is mainly targeted at preprocessing work of multi-source heterogeneous data fusion, and to some extent excluding the invalid data. Experimental results show that TDOA and RSSI Location noise fluctuations have improved significantly through the methods, and the normalized space is in accordance with the fusion requirement, which will be effectively applied to the next study of fusion location.
	TO cite this article:LI Ning,GONG Bin,DENG Zhongliang, et al. A Location Data Filter Data Fusion and Normalization Method[OL].[ 2 December 2016] http://en.paper.edu.cn/en_releasepaper/content/4712177


	9. Addressing the Challenges of Broadband Wireless Communications for High-Speed Rail - a Cognitive Radio Approach
	ZHAO Youping,LI Jinxing,HUANG Nannan,TAN Zhenhui
	Electrics, Communication and Autocontrol Technology 01 June 2016
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	Abstract:In this paper, the authors first review the increasing demand of broadband wireless communications for high-speed rail (HSR) and the challenges yet to be addressed. By developing and exploiting a dedicated radio environment map (REM) for high-speed rail, a novel cognitive radio (CR) approach is proposed to deal with the various challenging issues, such as fast channel estimation and adaptation under doubly selective fading, large Doppler spread, signalling storm and fatal communication disruption resulting from frequent group handover, coexistence and spectrum management issues. CR-based system architecture and cognitive signal processing algorithms are introduced for HSR broadband wireless communications, which have numerous benefits and advantages over the traditional approach. In addition, the REM-based cognitive channel estimation algorithm is proposed to acquire the channel coefficient efficiently and accurately. Simulations show that the performance of HSR broadband wireless communications can be improved significantly due to CR's situation awareness and learning capability by utilizing the comprehensive environmental information from a spatial-temporal database－REM. The parameters in the REM for HSR can be updated or fine-tuned through cognitive learning algorithms so that the performance of HSR broadband wireless communications can be continuously optimized along the repetitive movement of high-speed train on a fixed course. The CR approach presents a new paradigm for systems design and optimization of HSR broadband wireless communications.
	TO cite this article:ZHAO Youping,LI Jinxing,HUANG Nannan, et al. Addressing the Challenges of Broadband Wireless Communications for High-Speed Rail - a Cognitive Radio Approach[OL].[ 1 June 2016] http://en.paper.edu.cn/en_releasepaper/content/4695015


	10. Offline MIMO Equalization of Atmospheric Turbulence on the Propagation of Light Carrying Orbital Angular Momentum
	Guo Xinglan,Yin Xiaoli,Xin Xiangjun
	Electrics, Communication and Autocontrol Technology 04 December 2015
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	Abstract:We demonstrate crosstalk mitigation using 4 × 4 multiple-input-multiple-output (MIMO) equalization on an orbital angular momentum (OAM) multiplexed free-space data link in free-space optical communication links. For multiplexed OAM beams, atmospheric turbulence causes fluctuations of the received light signal, induces inter-channel crosstalk among each beam and degrades the signal performance, impairing link performance. We investigate its principle theoretically and verify it via simulation, the results demonstrate that with the assistance of MIMO processing, the Constellation diagram performance can be improved. Differernt MIMO equalization algorithms is compared, mathematical derivation and experimental simulation show that compared with CMA(Constant Modulus Algorithm), MCMA(modified Constant Modulus Algorithm) can improve the performance effectively and mitigate the channel crosstalk more effectively .
	TO cite this article:Guo Xinglan,Yin Xiaoli,Xin Xiangjun. Offline MIMO Equalization of Atmospheric Turbulence on the Propagation of Light Carrying Orbital Angular Momentum[OL].[ 4 December 2015] http://en.paper.edu.cn/en_releasepaper/content/4668529

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