Mingjian Liu, Zhiguo Liu, Xinjun Ma, Xiaoya Li, Yi Zheng, Guangsong Yang, Qiubo Ye
{"title":"Coexistence strategy of nuclear power equipment and wireless communication technology","authors":"Mingjian Liu, Zhiguo Liu, Xinjun Ma, Xiaoya Li, Yi Zheng, Guangsong Yang, Qiubo Ye","doi":"10.1109/ICEICT55736.2022.9909380","DOIUrl":"https://doi.org/10.1109/ICEICT55736.2022.9909380","url":null,"abstract":"The introduction of wireless communication technology in nuclear power plants faces challenges, although it can improve productivity and save cable costs. Firstly, wireless communication signals may cause electromagnetic noise interference to existing nuclear power equipment, and radio wave monitoring can lead to information leakage. Secondly, nuclear power plant equipment also generates noise in the working frequency band of wireless equipment, which affects its communication quality. Based on existing standards and test results, this paper discusses strategy about how nuclear power equipment and wireless technologies can coexist, and proposes recommendations to avoid mutual interference.","PeriodicalId":179327,"journal":{"name":"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123733088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Deep Learning-based AP Selection Method in Software-defined Networks","authors":"Miaomiao Duan, Hui Zhi, Lixia Yang","doi":"10.1109/ICEICT55736.2022.9909493","DOIUrl":"https://doi.org/10.1109/ICEICT55736.2022.9909493","url":null,"abstract":"In the Software Defined Network (SDN), the terminal has been connected to the network in the process when an access point failure or damage, if the access point is not properly selected, it will lead to a decline in the quality of service applications. To address this problem, most traditional AP selection methods use access point selection based on received signal strength without take into account the channel and channel capacity of the access point access, while this paper uses Deep Neural Networks (DNN)-based access point (AP) selection method and considers the channel and channel capacity as part of the parameters. In the SDN controller, the received signal strength, throughput, number of connected devices, channel, and the channel capacity and access point performance quality are used as the input and label of the DNN, respectively. The analysis and simulation results show that the algorithm can select AP with better performance quality compared with the traditional AP selection method based on received signal strength, and the correct rate is significantly improved by 5% when compared with the AP selection method based on feedforward neural network. Meanwhile, the DNN-based access point selection method in SDN achieves flexible control of network traffic and balances the load of access points in the network.","PeriodicalId":179327,"journal":{"name":"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124510585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Configurable Universal QC-LDPC Encoder Architecture Design","authors":"Mingbo Hao, Guangzu Liu, Jun Zou, Tian Ban","doi":"10.1109/ICEICT55736.2022.9909148","DOIUrl":"https://doi.org/10.1109/ICEICT55736.2022.9909148","url":null,"abstract":"Quasi-cyclic low-density parity-check (QC-LDPC) codes are widely used owning to its good performance and easy hardware implementation. However, most classical LDPC encoder designs do not support changing the LDPC code types or parameters according to different communication services and channel conditions. In this paper, we propose an encoder architecture with configurable code types, input information block lengths, coding rates and degrees of parallelism, which can realize “hot-switching” of configuration parameters. A new scheme that makes full use of the characteristics of the generation matrix is used in the core of parallel coding. The implementation on field programmable gate array (FPGA) shows that the throughput of the encoder can reach 1.6 Gbps under the condition of 7/8 coding rate (8176, 7154) and the degree of parallelism set to 8.","PeriodicalId":179327,"journal":{"name":"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125770244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dual-polarization Ultrawideband Absorber With two Independently Adjustable Notch","authors":"Yunfei Feng, J. Zang","doi":"10.1109/ICEICT55736.2022.9908610","DOIUrl":"https://doi.org/10.1109/ICEICT55736.2022.9908610","url":null,"abstract":"In this article, an absorptive frequency-selective reflector (AFSR) with three-absorptive bands at the sides of two independent adjustable notch bands is presented. The AFSR is designed by cascading the upper layer realized with dipole-like elements and the lower layer realized with a pattern consisting of a split arc and a circle, both layers are loaded with lumped resistors and varactors. The two notch bands are respectively adjusted by the varactor diodes loaded on different layers. The lower notch band is tuned from 5.3 to 9.3 GHz when the capacitance of the lower layer decreased from 2.1 to 0.23 pF. Meanwhile, the higher notch band is tuned from 13.0 to 15.9 GHz when the capacitances of the upper layer decrease from 2.1 to 0.23 pF. The proposed structure has great application potential in radar stealth and electromagnetic compatibility.","PeriodicalId":179327,"journal":{"name":"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125956434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Deep Learning Based Direction of Arrival Estimation of Multiple Targets","authors":"Saiqin Xu, Baixiao Chen, Hao Lian, Zheming Guo","doi":"10.1109/ICEICT55736.2022.9908986","DOIUrl":"https://doi.org/10.1109/ICEICT55736.2022.9908986","url":null,"abstract":"We develop a deep learning framework for Direction of Arrival (DOA) estimation. The sparse power spectrum inspires us, and the first shows that the columns of the array covariance matrix can be formulated as undersampled linear measurements of the spatial spectrum. Secondly, we introduce a Deep Neural Network (DNN) that learns potential inverse transformation from large training dataset. Our proposed DNN-based framework provides a larger aperture with a small number of antennas. Moreover, we reduce the hardware complexity and allow reconfig-urability of the receiver channels. Our solution is able to estimate a number of closely spaced targets larger than the number of receiver channels. Through numerical simulations, our proposed method overmatches the most advanced DOA estimation methods based on deep learning, particularly with limited snapshot and low signal-to-noise ratio (SNR) situations.","PeriodicalId":179327,"journal":{"name":"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124788087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Variable Step Size Least Mean p-Power Algorithm Based on Improved Softsign Function","authors":"Peng Chao, Biao Wang, Yunan Zhu, Boyu Zhu","doi":"10.1109/ICEICT55736.2022.9908722","DOIUrl":"https://doi.org/10.1109/ICEICT55736.2022.9908722","url":null,"abstract":"The conventional adaptive filtering algorithm in signal processing with fixed step size will lead to its stability and convergence unable to be combined at the moment. To deal with this problem, the least mean p-power (LMP) algorithm is improved, and a variable step size least mean p-power algorithm based on an improved softsign function is proposed. The algorithm uses the improved softsign function to construct the variable step size function, while the moving weighted average method is applied to update the step size and keep the efficiency of the algorithm stable. Simulation experiments indicate that the improved variable step size LMP algorithm further reduces the steady-state error of the algorithm while maintaining the original convergence speed, thus better balancing the stability and convergence of the algorithm under the interference of ocean pulse noise compared with the existing fixed step size and variable step size algorithms.","PeriodicalId":179327,"journal":{"name":"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127093323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multistable State of Six Dimensional Memristor HR Neuron Model and Its Hardware Implementation","authors":"Qingjie Sun, Yongbing Hu","doi":"10.1109/ICEICT55736.2022.9908644","DOIUrl":"https://doi.org/10.1109/ICEICT55736.2022.9908644","url":null,"abstract":"This paper proposes a new six dimensional memristor HR neuron model, the model is an improvement to the existing memristor HR model. It uses a cosine memristor and a sine memristor in neurons, respectively for the coupling and electromagnetic induction coupling. The model has no equilibrium point. Through the phase diagram and the bifurcation diagram, the Lyapunov index spectrum analyses its dynamic behavior, finding an improved memristor HR neuron model can show the boosting behavior, and changing the initial value of memristor can produce firing pattern booster to different discrete levels. The dissipation of the proposed model is studied. These patterns are homogeneous with extreme stability. Finally, the simulation results could be captured through the stm32 implementation and the oscilloscope. The results agree with the theoretical analysis.","PeriodicalId":179327,"journal":{"name":"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130528161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Wideband Omnidirectional MIMO Antenna for WiFi-6E Applications","authors":"Abiao Li, Botao Feng, Xiao Ding","doi":"10.1109/ICEICT55736.2022.9909106","DOIUrl":"https://doi.org/10.1109/ICEICT55736.2022.9909106","url":null,"abstract":"A wideband omnidirectional multiple-in multiple-out (MIMO) antenna for WiFi-6E applications is presented in this letter. The antenna operates at 2.37-3.04 GHz (24.7%) and 4.8-7.84 GHz (48.1%), which can cover WiFi-6E triple bands. An array including eight antenna elements is formed around a router. The antenna element has a planar structure with a compact size 48 × 8 × 1 mm 3, Simulations results show that the peak gain of antenna element varies in 3.71-5.15 dBi and 1.94-6.05 dBi within the above-mentioned dual bandwidths.","PeriodicalId":179327,"journal":{"name":"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131966809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Meng Zhang, H. Cui, Liu Yang, Runze Wang, Yu Wang, Jingqi Hu
{"title":"A Novel Timing Synchronization Method for OFDM-Based UWA Systems","authors":"Meng Zhang, H. Cui, Liu Yang, Runze Wang, Yu Wang, Jingqi Hu","doi":"10.1109/ICEICT55736.2022.9909234","DOIUrl":"https://doi.org/10.1109/ICEICT55736.2022.9909234","url":null,"abstract":"Symbol timing synchronization is of essential significance in the performance of Orthogonal Frequency Division Multiplexing (OFDM) systems. On the basis of symmetric sequences, the current study investigated a timing synchronization method intended for the OFDM system, which was applied to the underwater acoustic (UWA). As a consequence, a dramatic peak at the timing-correct location was generated by a superior pulse-like timing metric, although other components' values were marginal. Besides, the performance of the timing synchronization method was evaluated through computer simulation of the Root Mean Square Error (RMSE), whose results indicated that the proposed method was superior to the typical Park method in Gaussian white noise channel environment.","PeriodicalId":179327,"journal":{"name":"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127855503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chunsheng Wu, Fengshan Bai, Wenjun Zheng, Haixia Wang, Haiyang Hua, Da Teng
{"title":"Research on Road Vehicle Positioning Technology based on UWB Communication","authors":"Chunsheng Wu, Fengshan Bai, Wenjun Zheng, Haixia Wang, Haiyang Hua, Da Teng","doi":"10.1109/ICEICT55736.2022.9908790","DOIUrl":"https://doi.org/10.1109/ICEICT55736.2022.9908790","url":null,"abstract":"In order to accelerate the construction of intelligent transportation network, we will design and develop a high-precision vehicle lane positioning platform for highway centimeters to realize the integration of vehicle and road clouds. The design of the highway vehicle precision positioning system is based on STM32F103CBT6, UWB chip as the core to achieve the design of anchor and tag. At the same time, by adding RF amplifiers, modifying the transmitting power and optimizing the software code, it is possible to achieve high precision long distance positioning in real time and guarantee 150m communication. Finally, the QT interface presents the vehicle's trajectory. Experimental results show that the system is stable and reliable, the positioning error can be achieved within 10cm, and the high refresh rate of the second can be achieved on the QT platform.","PeriodicalId":179327,"journal":{"name":"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129304855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}