{"title":"基于DOA技术和三角质心算法的射频发射器定位系统设计与改进","authors":"A. N. Abdullah, L. Abdul-Rahaim","doi":"10.1109/ACA52198.2021.9626814","DOIUrl":null,"url":null,"abstract":"Localization and Direction Finding (DF) of Radio Frequency (RF) emitters is an important field in wireless communication. It estimates the direction and distance using a set of algorithms to obtain the real target position. RF localization has significant applications, especially in security and military applications. A network of passive sensors called the DF nodes with a central processor configures RF source localization system. RF localization system principle based on estimation techniques by collecting the direction and measuring range at each DF node to achieve localization. This paper aims to simulate the design of a high-resolution RF localization system, which provides knowledge of the types of signals being emitted by the targets and the number of targets. The simulation of this system includes implementing TDOA and DOA algorithms with triangulation centroid algorithm by a group of connected DF nodes in single-source environments with fixed target positions. DF nodes passively sense the environment by looking for the target emissions using a Uniform Linear Array (ULA) with signal processing algorithm. The obtained results are taken from many test cases to evaluate the accuracy of the RF localization system. The results show that robust localization estimation with a sufficiently small error can be achieved.","PeriodicalId":337954,"journal":{"name":"2021 International Conference on Advanced Computer Applications (ACA)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and Enhancement of Localization System for Radio Frequency Emitters Based on DOA Techniques and Triangulation Centroid Algorithm\",\"authors\":\"A. N. Abdullah, L. Abdul-Rahaim\",\"doi\":\"10.1109/ACA52198.2021.9626814\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Localization and Direction Finding (DF) of Radio Frequency (RF) emitters is an important field in wireless communication. It estimates the direction and distance using a set of algorithms to obtain the real target position. RF localization has significant applications, especially in security and military applications. A network of passive sensors called the DF nodes with a central processor configures RF source localization system. RF localization system principle based on estimation techniques by collecting the direction and measuring range at each DF node to achieve localization. This paper aims to simulate the design of a high-resolution RF localization system, which provides knowledge of the types of signals being emitted by the targets and the number of targets. The simulation of this system includes implementing TDOA and DOA algorithms with triangulation centroid algorithm by a group of connected DF nodes in single-source environments with fixed target positions. DF nodes passively sense the environment by looking for the target emissions using a Uniform Linear Array (ULA) with signal processing algorithm. The obtained results are taken from many test cases to evaluate the accuracy of the RF localization system. The results show that robust localization estimation with a sufficiently small error can be achieved.\",\"PeriodicalId\":337954,\"journal\":{\"name\":\"2021 International Conference on Advanced Computer Applications (ACA)\",\"volume\":\"143 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Advanced Computer Applications (ACA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACA52198.2021.9626814\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Advanced Computer Applications (ACA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACA52198.2021.9626814","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and Enhancement of Localization System for Radio Frequency Emitters Based on DOA Techniques and Triangulation Centroid Algorithm
Localization and Direction Finding (DF) of Radio Frequency (RF) emitters is an important field in wireless communication. It estimates the direction and distance using a set of algorithms to obtain the real target position. RF localization has significant applications, especially in security and military applications. A network of passive sensors called the DF nodes with a central processor configures RF source localization system. RF localization system principle based on estimation techniques by collecting the direction and measuring range at each DF node to achieve localization. This paper aims to simulate the design of a high-resolution RF localization system, which provides knowledge of the types of signals being emitted by the targets and the number of targets. The simulation of this system includes implementing TDOA and DOA algorithms with triangulation centroid algorithm by a group of connected DF nodes in single-source environments with fixed target positions. DF nodes passively sense the environment by looking for the target emissions using a Uniform Linear Array (ULA) with signal processing algorithm. The obtained results are taken from many test cases to evaluate the accuracy of the RF localization system. The results show that robust localization estimation with a sufficiently small error can be achieved.