Fast Algorithm for Full-Wave EM Scattering Analysis of Large-Scale Chaff Cloud With Arbitrary Orientation, Spatial Distribution, and Length

IF 3.7 2区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Antennas and Wireless Propagation Letters Pub Date : 2024-12-05 DOI:10.1109/LAWP.2024.3510524

Chung Hyun Lee;Dong-Kook Kang;Kyoung Il Kwon;Kyung-Tae Kim;Dong-Yeop Na

{"title":"Fast Algorithm for Full-Wave EM Scattering Analysis of Large-Scale Chaff Cloud With Arbitrary Orientation, Spatial Distribution, and Length","authors":"Chung Hyun Lee;Dong-Kook Kang;Kyoung Il Kwon;Kyung-Tae Kim;Dong-Yeop Na","doi":"10.1109/LAWP.2024.3510524","DOIUrl":null,"url":null,"abstract":"We propose a new fast algorithm optimized for full-wave electromagnetic (EM) scattering analysis of a large-scale cloud of chaffs with arbitrary orientation, spatial distribution, and length. By leveraging the unique EM scattering characteristics in chaff clouds, we introduce the <italic>sparsification via neglecting far-field coupling</i> strategy, which makes an impedance matrix block-banded and sparse and thereby significantly accelerates thin-wire approximate method-of-moments solvers. Our numerical studies demonstrate that the proposed algorithm can estimate the monostatic and bistatic radar cross section (RCS) of large-scale chaff clouds much faster and with greater memory efficiency than the conventional multilevel fast multipole method, while retaining the high accuracy. This algorithm is expected to be highly useful for RCS estimation of large-scale chaff clouds in practical scenarios, serving as a cost-effective ground-truth generator.","PeriodicalId":51059,"journal":{"name":"IEEE Antennas and Wireless Propagation Letters","volume":"24 3","pages":"631-635"},"PeriodicalIF":3.7000,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Antennas and Wireless Propagation Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10778438/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

Abstract

We propose a new fast algorithm optimized for full-wave electromagnetic (EM) scattering analysis of a large-scale cloud of chaffs with arbitrary orientation, spatial distribution, and length. By leveraging the unique EM scattering characteristics in chaff clouds, we introduce the sparsification via neglecting far-field coupling strategy, which makes an impedance matrix block-banded and sparse and thereby significantly accelerates thin-wire approximate method-of-moments solvers. Our numerical studies demonstrate that the proposed algorithm can estimate the monostatic and bistatic radar cross section (RCS) of large-scale chaff clouds much faster and with greater memory efficiency than the conventional multilevel fast multipole method, while retaining the high accuracy. This algorithm is expected to be highly useful for RCS estimation of large-scale chaff clouds in practical scenarios, serving as a cost-effective ground-truth generator.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

IEEE Antennas and Wireless Propagation Letters 工程技术-电信学

CiteScore

8.00

自引率

9.50%

发文量

529

审稿时长

1.0 months

期刊介绍： IEEE Antennas and Wireless Propagation Letters (AWP Letters) is devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation. These are areas of competence for the IEEE Antennas and Propagation Society (AP-S). AWPL aims to be one of the "fastest" journals among IEEE publications. This means that for papers that are eventually accepted, it is intended that an author may expect his or her paper to appear in IEEE Xplore, on average, around two months after submission.