Pub Date : 2020-08-26DOI: 10.1109/iWEM49354.2020.9237427
Yuzo Hayashi, H. Arai, Shinya Iwanaga, S. Hori
This paper presents a relaxation method of the measurement distance constraint of the conventional phase retrieval method using the method of moments for estimating far field radiation patterns.
本文提出了一种利用矩量法估计远场辐射方向图的传统相位反演方法的测量距离约束的松弛方法。
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Pub Date : 2020-08-26DOI: 10.1109/iWEM49354.2020.9237390
Hao Wang, Li-Jung Hsu, Chien‐Jen Wang
In this work, the design procedure of a compact low-pass filter (LPF) using a unit-cell slotted-ground-plane (SGP) resonator has been presented. Firstly, the analysis of frequency response of the H-shaped slot resonator etched in the ground plane has been show by using the transmission-line analysis method and even-and-odd analysis method. Secondly, based on the stepped-impedance (SI) structure, we systematically conclude the resonance analysis of the slot resonator, such as the resonance condition and harmonic response, and successfully derive the design rule of the slot resonator. Finally, the proposed low-pass filter with a low-impedance transmission line is demonstrated, which consists of the H-shaped slot resonator in the ground plane and two C-slot resonators. The comparison of the simulated and measured results are also shown.
{"title":"Design Procedure and Circuit Modeling of A Compact Slotted-Ground-Plane Low-Pass Filter","authors":"Hao Wang, Li-Jung Hsu, Chien‐Jen Wang","doi":"10.1109/iWEM49354.2020.9237390","DOIUrl":"https://doi.org/10.1109/iWEM49354.2020.9237390","url":null,"abstract":"In this work, the design procedure of a compact low-pass filter (LPF) using a unit-cell slotted-ground-plane (SGP) resonator has been presented. Firstly, the analysis of frequency response of the H-shaped slot resonator etched in the ground plane has been show by using the transmission-line analysis method and even-and-odd analysis method. Secondly, based on the stepped-impedance (SI) structure, we systematically conclude the resonance analysis of the slot resonator, such as the resonance condition and harmonic response, and successfully derive the design rule of the slot resonator. Finally, the proposed low-pass filter with a low-impedance transmission line is demonstrated, which consists of the H-shaped slot resonator in the ground plane and two C-slot resonators. The comparison of the simulated and measured results are also shown.","PeriodicalId":201518,"journal":{"name":"2020 International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132240953","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}
Due to high cost of the high-resolution polarimetric synthetic aperture radar (PolSAR) image, there are few literature on the automatic target recognition (ATR) of small target using polarimetric features. With the limitation of high-resolution POLSAR dataset, SAR image simulation can play an important role in the investigation of polarimetric features for man-made target. This paper presents a SAR image simulator and several polarimetric features extraction methods for small complex targets. The proposed SAR simulator is composed of a SAR echo simulator and an image formation algorithm. In order to generate the SAR echo efficiently and accurately, the shooting and bouncing rays (SBR) and physical optics (PO) hybrid method is employed for high frequency electromagnetic scattering prediction of complex objects. Based on the parameters of the moving and stationary target acquisition and recognition (MSTAR) dataset, the PolSAR images of military vehicles are created. In addition, the multi-reflection analysis can be done by decomposing the simulated SAR image into the images corresponding to the first, second, and third order reflections since SBR is a ray tracing based approach. After the simulated SAR image is generated, we employ target decomposition theorems to obtain polarimetric features for target interpretation. Using polarimetric decomposition, the scattering signals of the vehicle are decomposed into a weighted combination of various simple scattering mechanisms, which can be used to form a set of images representing different scattering features. In addition, a polarimetric feature map can be obtained by coloring the scattering centers according to their scattering mechanisms. The testing results show that the polarimetric features fit the multi-reflection analysis well for the simulated SAR image.
{"title":"SAR Image Simulation Based on SBR/PO Method for Polarimetric Feature Analysis","authors":"Tzong-Dar Wu, Yi-Chieh Hsieh, He-Wei Liou, Yuting Yen, Hung-Wei Lee, Hsuan-Fu Wang","doi":"10.1109/iWEM49354.2020.9237393","DOIUrl":"https://doi.org/10.1109/iWEM49354.2020.9237393","url":null,"abstract":"Due to high cost of the high-resolution polarimetric synthetic aperture radar (PolSAR) image, there are few literature on the automatic target recognition (ATR) of small target using polarimetric features. With the limitation of high-resolution POLSAR dataset, SAR image simulation can play an important role in the investigation of polarimetric features for man-made target. This paper presents a SAR image simulator and several polarimetric features extraction methods for small complex targets. The proposed SAR simulator is composed of a SAR echo simulator and an image formation algorithm. In order to generate the SAR echo efficiently and accurately, the shooting and bouncing rays (SBR) and physical optics (PO) hybrid method is employed for high frequency electromagnetic scattering prediction of complex objects. Based on the parameters of the moving and stationary target acquisition and recognition (MSTAR) dataset, the PolSAR images of military vehicles are created. In addition, the multi-reflection analysis can be done by decomposing the simulated SAR image into the images corresponding to the first, second, and third order reflections since SBR is a ray tracing based approach. After the simulated SAR image is generated, we employ target decomposition theorems to obtain polarimetric features for target interpretation. Using polarimetric decomposition, the scattering signals of the vehicle are decomposed into a weighted combination of various simple scattering mechanisms, which can be used to form a set of images representing different scattering features. In addition, a polarimetric feature map can be obtained by coloring the scattering centers according to their scattering mechanisms. The testing results show that the polarimetric features fit the multi-reflection analysis well for the simulated SAR image.","PeriodicalId":201518,"journal":{"name":"2020 International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125658964","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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