Statistical Analysis for Field-to-Line Coupling Model With Noise Based on Least Squares Approximation

In this letter, three least squares approximation (LSA) algorithms are presented and applied to the statistical analysis of a field-to-line coupling model over a nonideal ground. These three LSA algorithms are developed by combining coherence-optimal sampling (COS), Latin hypercube sampling (LHS), and Sobol sequence (Sobol), respectively, with the l1-minimum (l1-M) problem and incorporating a noise handling technique. These three LSA algorithms are then compared.

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Publication Details

Journal
IEEE Microwave and Wireless Technology Letters
Published
2024-10-16
DOI
https://doi.org/10.1109/lmwt.2024.3467703
Primary Topic
Target Tracking and Data Fusion in Sensor Networks
Type
article
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article

Statistical Analysis for Field-to-Line Coupling Model With Noise Based on Least Squares Approximation

Weiwei Chen, Yuhang Ji, Liping Yan, Xiang Zhao et al.
IEEE Microwave and Wireless Technology Letters
Target Tracking and Data Fusion in Sensor Networks
article

Statistical Analysis for Field-to-Line Coupling Model With Noise Based on Least Squares Approximation

Weiwei Chen, Yuhang Ji, Liping Yan, Xiang Zhao, Jiahao Chen, Yuanhao Zhang
article en

Abstract

In this letter, three least squares approximation (LSA) algorithms are presented and applied to the statistical analysis of a field-to-line coupling model over a nonideal ground. These three LSA algorithms are developed by combining coherence-optimal sampling (COS), Latin hypercube sampling (LHS), and Sobol sequence (Sobol), respectively, with the l1-minimum (l1-M) problem and incorporating a noise handling technique. These three LSA algorithms are then compared.

IEEE Microwave and Wireless Technology LettersVol. 35(1)
Sichuan University (CN), Chengdu University of Information Technology (CN)
Openalex Percentile: Top 84%
Target Tracking and Data Fusion in Sensor Networks
DOISourceOpenAlex
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Statistical Analysis for Field-to-Line Coupling Model With Noise Based on Least Squares Approximation — Weiwei Chen, Yuhang Ji, et al. · IEEE Microwave and Wireless Technology Letters (2024) | TGRS Research Map | TGRS