{"title":"Platform Design of Passive Target Perception and Localization Based on Sensor Networks","authors":"Qin Cheng, Lin Zhang, Yang Yu, Lingjiao Pan","doi":"10.1155/2024/1315785","DOIUrl":null,"url":null,"abstract":"With the rapid development, extensive knowledge, and diverse application scenarios of target perception and positioning technology in sensor networks, a passive target perception and localization platform based on Wireless Sensor Networks (WSN) has been designed. The platform is mainly applied for the teaching of electronic information, communication, and Internet of Things (IoT) engineering. The platform follows the teaching concept of “developing students’ ability to solve complex engineering problems” in the emerging engineering discipline and combines experimental simulation with real-world testing, as well as integrating scientific research and teaching. It encompasses technical elements such as perception and localization theory, sparse representation classification modeling, solving underdetermined equations, data analysis, and sparse coding, as well as nontechnical aspects such as team collaboration and cost budgeting. The platform boasts high fidelity and scalability, providing students with the opportunity to develop comprehensive practical and innovative skills in solving complex engineering problems.","PeriodicalId":48792,"journal":{"name":"Journal of Sensors","volume":"87 1","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sensors","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1155/2024/1315785","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
With the rapid development, extensive knowledge, and diverse application scenarios of target perception and positioning technology in sensor networks, a passive target perception and localization platform based on Wireless Sensor Networks (WSN) has been designed. The platform is mainly applied for the teaching of electronic information, communication, and Internet of Things (IoT) engineering. The platform follows the teaching concept of “developing students’ ability to solve complex engineering problems” in the emerging engineering discipline and combines experimental simulation with real-world testing, as well as integrating scientific research and teaching. It encompasses technical elements such as perception and localization theory, sparse representation classification modeling, solving underdetermined equations, data analysis, and sparse coding, as well as nontechnical aspects such as team collaboration and cost budgeting. The platform boasts high fidelity and scalability, providing students with the opportunity to develop comprehensive practical and innovative skills in solving complex engineering problems.
Journal of SensorsENGINEERING, ELECTRICAL & ELECTRONIC-INSTRUMENTS & INSTRUMENTATION
CiteScore
4.10
自引率
5.30%
发文量
833
审稿时长
18 weeks
期刊介绍:
Journal of Sensors publishes papers related to all aspects of sensors, from their theory and design, to the applications of complete sensing devices. All classes of sensor are covered, including acoustic, biological, chemical, electronic, electromagnetic (including optical), mechanical, proximity, and thermal. Submissions relating to wearable, implantable, and remote sensing devices are encouraged.
Envisaged applications include, but are not limited to:
-Medical, healthcare, and lifestyle monitoring
-Environmental and atmospheric monitoring
-Sensing for engineering, manufacturing and processing industries
-Transportation, navigation, and geolocation
-Vision, perception, and sensing for robots and UAVs
The journal welcomes articles that, as well as the sensor technology itself, consider the practical aspects of modern sensor implementation, such as networking, communications, signal processing, and data management.
As well as original research, the Journal of Sensors also publishes focused review articles that examine the state of the art, identify emerging trends, and suggest future directions for developing fields.