Pub Date : 2022-08-26DOI: 10.1109/MAPE53743.2022.9935157
Hao Yan, Kai Wang, Liang Cao, Mao-zheng Chen, Jun Ma, X. Duan
Phased array feed is a receiver technology that can make the radio telescope achieve continuous field of view coverage. Combined with the characteristics of reflector antenna, through focal field analysis and performance comparison under various designs, this paper presents the specific array design method of 1.25 GHz phased array feed. The final designed phased array feed can achieve three times the beam width of the telescope field of view at the working frequency of 1.25 GHz, the array size is 0.525m, the array element spacing is 0.437 times the wavelength, the array arrangement mode is hexagonal arrangement, and the final number of array elements is nineteen, of which the hexagonal subarray of 7 elements form one beam. Although the above array design parameters are not the optimal solution under the same conditions, the relevant steps can guide the array design of reflector antenna phased array feed, and also provide a reference for the later design of broadband and ultra wideband phased array feed array.
{"title":"Array Design of Phased Array Feed at 1.25GHz","authors":"Hao Yan, Kai Wang, Liang Cao, Mao-zheng Chen, Jun Ma, X. Duan","doi":"10.1109/MAPE53743.2022.9935157","DOIUrl":"https://doi.org/10.1109/MAPE53743.2022.9935157","url":null,"abstract":"Phased array feed is a receiver technology that can make the radio telescope achieve continuous field of view coverage. Combined with the characteristics of reflector antenna, through focal field analysis and performance comparison under various designs, this paper presents the specific array design method of 1.25 GHz phased array feed. The final designed phased array feed can achieve three times the beam width of the telescope field of view at the working frequency of 1.25 GHz, the array size is 0.525m, the array element spacing is 0.437 times the wavelength, the array arrangement mode is hexagonal arrangement, and the final number of array elements is nineteen, of which the hexagonal subarray of 7 elements form one beam. Although the above array design parameters are not the optimal solution under the same conditions, the relevant steps can guide the array design of reflector antenna phased array feed, and also provide a reference for the later design of broadband and ultra wideband phased array feed array.","PeriodicalId":442568,"journal":{"name":"2022 IEEE 9th International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE)","volume":"55 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130494295","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}
This paper first introduces the definition and classification of the high-power electromagnetic (HPEM) environment, and lists the typical effect simulation systems abroad. On this basis, the protection methods for front and back doors of strong electromagnetic pulse are discussed in detail, and a new strong electromagnetic alarm technology is proposed. Finally, some suggestions are given for the future development of this field.
{"title":"Research on High-Power Electromagnetic Effect and Protective Technology of Electronic Equipments","authors":"Qiwei Li, Wen Cao, Jun Ding, Jinyong Fang, Jing Sun, Chenjiang Guo","doi":"10.1109/MAPE53743.2022.9935158","DOIUrl":"https://doi.org/10.1109/MAPE53743.2022.9935158","url":null,"abstract":"This paper first introduces the definition and classification of the high-power electromagnetic (HPEM) environment, and lists the typical effect simulation systems abroad. On this basis, the protection methods for front and back doors of strong electromagnetic pulse are discussed in detail, and a new strong electromagnetic alarm technology is proposed. Finally, some suggestions are given for the future development of this field.","PeriodicalId":442568,"journal":{"name":"2022 IEEE 9th International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131516008","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}
Pub Date : 2022-08-26DOI: 10.1109/MAPE53743.2022.9935176
Wendong Fan, Tian Chen, Yu Gu, Yang Li
The coexistence of heterogeneous devices in the Internet of Things wireless network brings a new topic of cross-technology communication in order to improve the communication efficiency between heterogeneous devices and promote the cooperation between heterogeneous devices. WiFi and ZigBee are the two most commonly used IoT devices in IoT environments. They have the advantages of low communication delay, high speed, low cost, and easy deployment. Since the spectrum of WiFi and ZigBee overlap, ZigBee signal will affect the transmission of CSI signal. We propose a CTC technique based on machine learning and deep learning, which uses only WiFi channel state information (CSI), and can distinguish whether there is ZigBee signal transmission in WiFi signals by classifying WiFi channel state information. In this paper, machine learning classification methods and deep learning methods are used to classify CSI sequences respectively. We extract the features of 8 CSI sequences to improve the accuracy of machine learning classifier and LSTM classifier, and adopt transformer network classifier to further improve the classification accuracy. In our experimental dataset, the highest accuracy rate can reach 94.9%. The evaluation results show that the accuracy of this method is significantly higher than the existing classification methods.
{"title":"Cross-Technology Communication between WiFi and ZigBee","authors":"Wendong Fan, Tian Chen, Yu Gu, Yang Li","doi":"10.1109/MAPE53743.2022.9935176","DOIUrl":"https://doi.org/10.1109/MAPE53743.2022.9935176","url":null,"abstract":"The coexistence of heterogeneous devices in the Internet of Things wireless network brings a new topic of cross-technology communication in order to improve the communication efficiency between heterogeneous devices and promote the cooperation between heterogeneous devices. WiFi and ZigBee are the two most commonly used IoT devices in IoT environments. They have the advantages of low communication delay, high speed, low cost, and easy deployment. Since the spectrum of WiFi and ZigBee overlap, ZigBee signal will affect the transmission of CSI signal. We propose a CTC technique based on machine learning and deep learning, which uses only WiFi channel state information (CSI), and can distinguish whether there is ZigBee signal transmission in WiFi signals by classifying WiFi channel state information. In this paper, machine learning classification methods and deep learning methods are used to classify CSI sequences respectively. We extract the features of 8 CSI sequences to improve the accuracy of machine learning classifier and LSTM classifier, and adopt transformer network classifier to further improve the classification accuracy. In our experimental dataset, the highest accuracy rate can reach 94.9%. The evaluation results show that the accuracy of this method is significantly higher than the existing classification methods.","PeriodicalId":442568,"journal":{"name":"2022 IEEE 9th International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132569739","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}
Pub Date : 2022-08-26DOI: 10.1109/MAPE53743.2022.9935174
Zan-Yang Wang, Xin Wei, Guang-Ming Wang, Deng-Pan Wang, Xingshuo Cui
Vortex wave can be applied in the domain of wireless communication technology to improve spectrum utilization and communication capacity. However, the current generation method of vortex wave is defective, especially the design of vortex wave antenna with broadband and low RCS still faces great challenges. In this paper, an ultra-broadband stealth vortex wave antenna is proposed based on metasurface (MS). After y-polarized spherical wave passes through the MS, the MS converts y-polarized spherical wave into x-polarized vortex wave at front side. When y-polarized wave illuminates the MS from back side, the antenna array scatters y-polarized reflected wave to realize diffuse scattering function and reduce the backward RCS of the antenna system. By exciting the MS with horn antenna, a stealth vortex wave broadband antenna system is realized. The broadband antenna system has both high gain vortex wave radiation performance and low backward RCS scattering performance in the same frequency spectrum simultaneously. The experimental results show that the 3 dB gain relative bandwidth of the stealth vortex EM wave antenna is 58% (11 GHz~20 GHz). Besides, the RCS of the antenna system can be reduced more than 10 dB between 11.3 GHz to 20 GHz (relative bandwidth is 56%).
{"title":"Ultra-Broadband Stealth Vortex Wave Antenna Based on Metasurface","authors":"Zan-Yang Wang, Xin Wei, Guang-Ming Wang, Deng-Pan Wang, Xingshuo Cui","doi":"10.1109/MAPE53743.2022.9935174","DOIUrl":"https://doi.org/10.1109/MAPE53743.2022.9935174","url":null,"abstract":"Vortex wave can be applied in the domain of wireless communication technology to improve spectrum utilization and communication capacity. However, the current generation method of vortex wave is defective, especially the design of vortex wave antenna with broadband and low RCS still faces great challenges. In this paper, an ultra-broadband stealth vortex wave antenna is proposed based on metasurface (MS). After y-polarized spherical wave passes through the MS, the MS converts y-polarized spherical wave into x-polarized vortex wave at front side. When y-polarized wave illuminates the MS from back side, the antenna array scatters y-polarized reflected wave to realize diffuse scattering function and reduce the backward RCS of the antenna system. By exciting the MS with horn antenna, a stealth vortex wave broadband antenna system is realized. The broadband antenna system has both high gain vortex wave radiation performance and low backward RCS scattering performance in the same frequency spectrum simultaneously. The experimental results show that the 3 dB gain relative bandwidth of the stealth vortex EM wave antenna is 58% (11 GHz~20 GHz). Besides, the RCS of the antenna system can be reduced more than 10 dB between 11.3 GHz to 20 GHz (relative bandwidth is 56%).","PeriodicalId":442568,"journal":{"name":"2022 IEEE 9th International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133737129","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}
Pub Date : 2022-08-26DOI: 10.1109/MAPE53743.2022.9935151
Yitong Wang, Wenxing Li, Yahui Wang
When the sidelobe interference perturbation or the array platform vibration happen to adaptive antenna array, the sidelobe interference overflows the null, resulting in the degradation of the output performance of the adaptive beamformer. To solve this problem, we propose a null broadening algorithm based on covariance matrix reconstruction and virtual antenna technology in this paper. According to eigenvector correlation we reconstruct a sidelobe interference plus noise covariance matrix. Then we construct a projection transformation matrix using the interference steering vector and the reconstructed interference plus noise covariance matrix is processed. Finally, the covariance matrix is extended and adaptive beamforming is carried out combined with virtual antenna technology. Simulation results show that the null broadening algorithm can effectively suppress interferences and has good robustness.
{"title":"A Robust Beamforming Algorithm for Null Broadening Based on Covariance Matrix Reconstruction and Virtual Antenna Technology","authors":"Yitong Wang, Wenxing Li, Yahui Wang","doi":"10.1109/MAPE53743.2022.9935151","DOIUrl":"https://doi.org/10.1109/MAPE53743.2022.9935151","url":null,"abstract":"When the sidelobe interference perturbation or the array platform vibration happen to adaptive antenna array, the sidelobe interference overflows the null, resulting in the degradation of the output performance of the adaptive beamformer. To solve this problem, we propose a null broadening algorithm based on covariance matrix reconstruction and virtual antenna technology in this paper. According to eigenvector correlation we reconstruct a sidelobe interference plus noise covariance matrix. Then we construct a projection transformation matrix using the interference steering vector and the reconstructed interference plus noise covariance matrix is processed. Finally, the covariance matrix is extended and adaptive beamforming is carried out combined with virtual antenna technology. Simulation results show that the null broadening algorithm can effectively suppress interferences and has good robustness.","PeriodicalId":442568,"journal":{"name":"2022 IEEE 9th International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132006596","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}
Pub Date : 2022-08-26DOI: 10.1109/MAPE53743.2022.9935185
Wei Zhao, Zhang Tao, Zhao Guo, Hang Gu, Chunyue Cheng
In this paper, a statistical calibration method for the two-port vector network analyzer (VNA) is proposed, where an arbitrary known two-port device and multiple reflections are used as standards. According to our recently proposed theory, the T-matrices of error boxes are constructed by measuring the known two-port standard and only three wave ratios are defined to represent the calibration coefficients. Then, based on the measurements of multiple reflection standards, the three calibration coefficients are initially solved through the ordinary linear regression analysis. After that, with the uncertainties from the connection repeatability introduced to the measurements of multiple reflection standards, the calibration coefficients are secondarily modified by using the weighted linear regression analysis. By this means, the calibration result is obtained under the impact of the connection repeatability, and then used for the error correction of S-parameter measurements. Finally, experiments are performed to verify the proposed method.
{"title":"A Statistical VNA Calibration Method Applying Multiple Reflection Standards","authors":"Wei Zhao, Zhang Tao, Zhao Guo, Hang Gu, Chunyue Cheng","doi":"10.1109/MAPE53743.2022.9935185","DOIUrl":"https://doi.org/10.1109/MAPE53743.2022.9935185","url":null,"abstract":"In this paper, a statistical calibration method for the two-port vector network analyzer (VNA) is proposed, where an arbitrary known two-port device and multiple reflections are used as standards. According to our recently proposed theory, the T-matrices of error boxes are constructed by measuring the known two-port standard and only three wave ratios are defined to represent the calibration coefficients. Then, based on the measurements of multiple reflection standards, the three calibration coefficients are initially solved through the ordinary linear regression analysis. After that, with the uncertainties from the connection repeatability introduced to the measurements of multiple reflection standards, the calibration coefficients are secondarily modified by using the weighted linear regression analysis. By this means, the calibration result is obtained under the impact of the connection repeatability, and then used for the error correction of S-parameter measurements. Finally, experiments are performed to verify the proposed method.","PeriodicalId":442568,"journal":{"name":"2022 IEEE 9th International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133272378","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}
Pub Date : 2022-08-26DOI: 10.1109/MAPE53743.2022.9935187
Zhang Tao, Hang Gu, Wei Zhao
In this paper, the line-network-network (LNN) calibration is reformulated based on the T-matrix representation. Firstly, the T-matrices of error boxes are constructed by measuring the line standard, and only three wave ratios need to be solved. On this basis, an unknown obstacle is placed and measured at three positions of the transmission line to solve three wave ratios. Once three wave ratios are obtained, the T-matrices of error boxes are determined. Finally, the validity of the proposed method is proved by the experiment.
{"title":"A Reformulation of LNN Calibration","authors":"Zhang Tao, Hang Gu, Wei Zhao","doi":"10.1109/MAPE53743.2022.9935187","DOIUrl":"https://doi.org/10.1109/MAPE53743.2022.9935187","url":null,"abstract":"In this paper, the line-network-network (LNN) calibration is reformulated based on the T-matrix representation. Firstly, the T-matrices of error boxes are constructed by measuring the line standard, and only three wave ratios need to be solved. On this basis, an unknown obstacle is placed and measured at three positions of the transmission line to solve three wave ratios. Once three wave ratios are obtained, the T-matrices of error boxes are determined. Finally, the validity of the proposed method is proved by the experiment.","PeriodicalId":442568,"journal":{"name":"2022 IEEE 9th International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132791366","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}
Pub Date : 2022-08-26DOI: 10.1109/MAPE53743.2022.9935217
S. Nishi, Kazuhiko Tamesue, San Hlaing Myint, Takuro Sato, T. Kawanishi
The 280 GHz circular polarized antennae of broad frequency band of axial ratio (AR) are designed and fabricated. The sequential connection is calculated in this paper and the 2x sequential and the 4x sequential connection are proposed. The 4x sequential connection is realized and the broad frequential characteristics of AR is obtained.
{"title":"A 280 GHz Circular Polarized 4x4 Elements Antenna Array","authors":"S. Nishi, Kazuhiko Tamesue, San Hlaing Myint, Takuro Sato, T. Kawanishi","doi":"10.1109/MAPE53743.2022.9935217","DOIUrl":"https://doi.org/10.1109/MAPE53743.2022.9935217","url":null,"abstract":"The 280 GHz circular polarized antennae of broad frequency band of axial ratio (AR) are designed and fabricated. The sequential connection is calculated in this paper and the 2x sequential and the 4x sequential connection are proposed. The 4x sequential connection is realized and the broad frequential characteristics of AR is obtained.","PeriodicalId":442568,"journal":{"name":"2022 IEEE 9th International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115660730","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}
Pub Date : 2022-08-26DOI: 10.1109/MAPE53743.2022.9935173
Q. Lin, Xiao-zheng Wang, Haifeng Wu
The nonlinear parameter extraction for microwave power devices has the problems of low efficiency and high complexity. An X-parameter modeling based on general regression neural network (GRNN) is proposed in this paper. It is demonstrated that the GRNN model can realize the fit rate of 96.0 % and the mean-square error (MSE) of 0.0013. Consequently, the nonlinear characteristics for transistor can be accurately characterized by GRNN model.
{"title":"X-Parameter Modeling for Microwave Power Device Based on GRNN","authors":"Q. Lin, Xiao-zheng Wang, Haifeng Wu","doi":"10.1109/MAPE53743.2022.9935173","DOIUrl":"https://doi.org/10.1109/MAPE53743.2022.9935173","url":null,"abstract":"The nonlinear parameter extraction for microwave power devices has the problems of low efficiency and high complexity. An X-parameter modeling based on general regression neural network (GRNN) is proposed in this paper. It is demonstrated that the GRNN model can realize the fit rate of 96.0 % and the mean-square error (MSE) of 0.0013. Consequently, the nonlinear characteristics for transistor can be accurately characterized by GRNN model.","PeriodicalId":442568,"journal":{"name":"2022 IEEE 9th International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121976144","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}
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