2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)最新文献_第10页

Improved Zero-Attracting LMS Algorithm for the Adaptive Identification of Sparse System 稀疏系统自适应识别的改进吸零LMS算法

2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2022-08-21 DOI: 10.1109/ICEICT55736.2022.9909029

Ying Guo, Haodong Wang, Lily Li

{"title":"Improved Zero-Attracting LMS Algorithm for the Adaptive Identification of Sparse System","authors":"Ying Guo, Haodong Wang, Lily Li","doi":"10.1109/ICEICT55736.2022.9909029","DOIUrl":"https://doi.org/10.1109/ICEICT55736.2022.9909029","url":null,"abstract":"The ZA-LMS (Zero-Attraction Least Mean Square) algorithm is an efficient sparse system identification algorithm. The core of it is to exert attraction on the weight coefficients in the process of iteration to make the error close to zero as far as possible. However, if the weight coefficients are applied with the same attraction, it leads to the slow convergence of the algorithm due to the insufficient attraction when the weight coefficient is close to zero. And when the weight coefficient is large, the steady-state error of the algorithm will increase due to the immoderate pressure applied. At the same time, the fixed step size and regularization parameter make it difficult for the algorithm to maintain a suitable trade-off between the steady state error and the fixed step size. Therefore, considering the aspects of the attraction operator, step size, and regularization parameter, an improved algorithm named VP-LZA-LMS (Variable Parameters and Logarithmic function based ZA-LMS) is suggested in this essay. Firstly, the original penalty term in ZA-LMS is changed using the logarithmic function, and then a new weight updating equation is derived, which enables the algorithm to exert different attractive force according to the value of the coefficient during updating. Secondly, on the basis of the reduced mean square deviation, new formulas are created that allow the step size and regularization parameter to be changed in real time in line with the error. The imbalance between the steady state error and the convergence rate is alleviated by the step size and regularization parameter's variability. Finally, simulation findings demonstrate that the suggested VP-LZA-LMS algorithm outperforms some existing similar algorithms in terms of convergence and tracking performance under the condition of white and colored input","PeriodicalId":179327,"journal":{"name":"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"114 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":"123300914","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}

引用次数: 0

M-estimate based Proportionate Normalized Adaptive Subband Filter with Combined Step-size 基于m估计的组合步长比例归一化自适应子带滤波器

2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2022-08-21 DOI: 10.1109/ICEICT55736.2022.9908768

Jianhong Ye, Yi Yu

引用次数: 0

Restoring Phase Linearity of Uniform Linear Array With Certain Decoupling Techniques 用一定的解耦技术恢复均匀线性阵列的相位线性

2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2022-08-21 DOI: 10.1109/ICEICT55736.2022.9908976

Jiali Kang, Quanxin Ren, Xin Cheng, Simin Song, Xiaoming Chen

引用次数: 0

A Broadband Turnstile Orthomode Transducer 宽带转门正交换能器

2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2022-08-21 DOI: 10.1109/ICEICT55736.2022.9909239

Jun Xiao, Jinjun Tian, Dexing Qin, Q. Ye

引用次数: 0

Bayesian Knowledge Tracing based on Transformer 基于Transformer的贝叶斯知识跟踪

2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2022-08-21 DOI: 10.1109/ICEICT55736.2022.9908959

Tingjiang Wei, Bingying Hu, Qin Ni

引用次数: 0

Analysis of Measurement Uncertainty for 5G OTA Measurement Grid Above 3 GHz 3ghz以上5G OTA测量网格测量不确定度分析

2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2022-08-21 DOI: 10.1109/ICEICT55736.2022.9909298

Lei Chen, Siyang Sun, Xiaochen Chen, Zhanyuan Gao, Xuan Yi, Peihua Wang

引用次数: 0

Analysis of Electromagnetic Properties from Time-Varying Moving Plasma with Lorentz-FDTD 用洛伦兹fdtd分析时变运动等离子体的电磁特性

2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2022-08-21 DOI: 10.1109/ICEICT55736.2022.9908815

Haiyan Li, Y. Bo, Lixia Yang, Mouping Jin, Zhixiang Huang, Xianmin Guo

引用次数: 0

Design and Implementation of 77G Radar System 77G雷达系统的设计与实现

2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2022-08-21 DOI: 10.1109/ICEICT55736.2022.9908770

X. Li, Guangzu Liu

引用次数: 0

Cross-Coupling Hairpin Bandpass Filter with Periodic Grooves 周期性沟槽交叉耦合发夹带通滤波器

2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2022-08-21 DOI: 10.1109/ICEICT55736.2022.9908845

Han Yan, Xianliang Wu, Yunfeng Hu

{"title":"Cross-Coupling Hairpin Bandpass Filter with Periodic Grooves","authors":"Han Yan, Xianliang Wu, Yunfeng Hu","doi":"10.1109/ICEICT55736.2022.9908845","DOIUrl":"https://doi.org/10.1109/ICEICT55736.2022.9908845","url":null,"abstract":"This paper introduces a miniaturized bandpass filter with high out-of-band rejection for 5G communication systems. The proposed method includes directly connecting the non-adjacent resonant units of the filter with a section of 1/2 wavelength transmission line to form a special cross-coupling structure, thereby introducing a pair of transmission zeros, and the out-of-band suppression is below -30dB, which improves the performance and the out-of-band rejection capability of the filter. At the same time, periodic square grooves are used on the outer edge of the coupled resonator to achieve phase velocity compensation between odd-mode and even-mode to suppress parasitic passband. The 1dB bandwidth of this filter is 4.8GHz ~ 5GHz, the center frequency is 4.9GHz, and the bandwidth is 4%. The minimum insertion loss in the passband is 1.6dB and the insertion loss in the band is less than 3dB, and the return loss in the band is less than -11dB. Rejection level is - 32.7dB around $2f_{0}$ and -34.2dB around $3f_{0}$, and more than 20dB rejection level is achieved in the out-of-band 5.1GHz ~J25GHz frequency range.","PeriodicalId":179327,"journal":{"name":"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"170 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":"132763244","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}

引用次数: 0

Mixture Maximum Correntropy Criterion Unscented Kalman Filter for Robust SOC Estimation 混合最大熵准则无气味卡尔曼滤波稳健SOC估计

2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2022-08-21 DOI: 10.1109/ICEICT55736.2022.9909141

Xiaofei Wang, Quan Sun, Liang Chen, Di Mu, R. Liu

{"title":"Mixture Maximum Correntropy Criterion Unscented Kalman Filter for Robust SOC Estimation","authors":"Xiaofei Wang, Quan Sun, Liang Chen, Di Mu, R. Liu","doi":"10.1109/ICEICT55736.2022.9909141","DOIUrl":"https://doi.org/10.1109/ICEICT55736.2022.9909141","url":null,"abstract":"Because of the existence of non-Gaussian measurement noises, designing robust estimate method of state of charge (SOC) is pivotal for managing battery power. The original unscented kalman filter(UKF) with the mean square error (MSE) criterion based SOC estimation method only performs well under the measurement noises with Gaussian assumption. To improve the estimation accuracy of the UKF under non-Gaussian measurement noise, this paper proposes a novel UKF with the mixture correntropy to accurately estimate SOC. In the proposed method, the mixture correntropy as a cost function (noted as maximum mixture correntropy criterion, MMCC) is used to substitute the MSE in original UKF framework, in which two Gaussian kernel with different kernel width are utilized as the kernel function, and we called it MMCC-UKF. Based on the mathematical model of the second-order equivalent circuit model of battery, a model-driven based novel robustness SOC estimation method is developed by using the proposed MMCC-UKF. Numerical simulations are performed to test the efficacy of the proposed MMCC-UKF based SOC estimation method under various types of non-Gaussian measurement noises.","PeriodicalId":179327,"journal":{"name":"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"70 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":"130949156","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}

引用次数: 2