{"title":"基于人工神经网络的战术飞机无线电紧凑型测向阵列","authors":"L. Scorrano, G. Pelosi, M. Righini, S. Selleri","doi":"10.1109/APCAP.2018.8538177","DOIUrl":null,"url":null,"abstract":"In this contribution, a circular array made of wideband loaded monopole antennas is successfully applied to the direction of arrival estimate of tactical aircraft communications. The proposed novel approach, based on an artificial neural network estimator, turns out to be computationally faster and less expensive in terms of computational resources in comparison with other methods already found in literature. The final array configuration is evaluated by a near-field measurement setup and the performances of the neural network estimator are then presented showing excellent wideband behavior and accuracy.","PeriodicalId":198124,"journal":{"name":"2018 IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Compact Direction Finding Array for Tactical Aircraft Radios Through Artificial Neural Networks Estimator\",\"authors\":\"L. Scorrano, G. Pelosi, M. Righini, S. Selleri\",\"doi\":\"10.1109/APCAP.2018.8538177\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this contribution, a circular array made of wideband loaded monopole antennas is successfully applied to the direction of arrival estimate of tactical aircraft communications. The proposed novel approach, based on an artificial neural network estimator, turns out to be computationally faster and less expensive in terms of computational resources in comparison with other methods already found in literature. The final array configuration is evaluated by a near-field measurement setup and the performances of the neural network estimator are then presented showing excellent wideband behavior and accuracy.\",\"PeriodicalId\":198124,\"journal\":{\"name\":\"2018 IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APCAP.2018.8538177\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCAP.2018.8538177","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Compact Direction Finding Array for Tactical Aircraft Radios Through Artificial Neural Networks Estimator
In this contribution, a circular array made of wideband loaded monopole antennas is successfully applied to the direction of arrival estimate of tactical aircraft communications. The proposed novel approach, based on an artificial neural network estimator, turns out to be computationally faster and less expensive in terms of computational resources in comparison with other methods already found in literature. The final array configuration is evaluated by a near-field measurement setup and the performances of the neural network estimator are then presented showing excellent wideband behavior and accuracy.