R. N. Kashi, Anushka Prashanth, Sumukh R Kashi, Gayathri Prabhakara
{"title":"A survey and analysis of drone detection systems using a systems approach superposed on scenarios","authors":"R. N. Kashi, Anushka Prashanth, Sumukh R Kashi, Gayathri Prabhakara","doi":"10.1002/sys.21735","DOIUrl":null,"url":null,"abstract":"The proliferation of drones in civil and military applications has brought about new challenges in the context of safety and security considerations of operational aspects. The use of small‐ and medium‐sized drones in civilian airspaces even with regulatory approval may not provide guarantees of safety and security. Detection of drones is the first step towards providing a mitigating mechanism for challenges posed by mal‐intentioned drones. Sensors and their characteristics affecting the detection process are discussed. A figure of merit is proposed to compare systems employing these sensors. The key focus of the paper is the examination of the spectrum of drone detection systems (DDS) using a systems‐based approach applied to scenarios. In order to make an equitable comparison between systems, two scenarios are utilized to discuss system characteristics. Next, a survey of DDS in each of these scenarios is performed. Artifacts are analyzed, culling information using the systems model. An approach is proposed to perform evaluation of these artifacts using a scoring mechanism. Simple yet novel measures to assess the information content pertaining to DDS are presented. This approach enables researchers, system architects, system designers, solution providers, and system integrators to be aware of various challenges at the system and subsystem level. The proposed method helps to provide pointers to the literature where information about challenges and specific solutions can be obtained.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":"114 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2023-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Systems Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/sys.21735","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
Abstract
The proliferation of drones in civil and military applications has brought about new challenges in the context of safety and security considerations of operational aspects. The use of small‐ and medium‐sized drones in civilian airspaces even with regulatory approval may not provide guarantees of safety and security. Detection of drones is the first step towards providing a mitigating mechanism for challenges posed by mal‐intentioned drones. Sensors and their characteristics affecting the detection process are discussed. A figure of merit is proposed to compare systems employing these sensors. The key focus of the paper is the examination of the spectrum of drone detection systems (DDS) using a systems‐based approach applied to scenarios. In order to make an equitable comparison between systems, two scenarios are utilized to discuss system characteristics. Next, a survey of DDS in each of these scenarios is performed. Artifacts are analyzed, culling information using the systems model. An approach is proposed to perform evaluation of these artifacts using a scoring mechanism. Simple yet novel measures to assess the information content pertaining to DDS are presented. This approach enables researchers, system architects, system designers, solution providers, and system integrators to be aware of various challenges at the system and subsystem level. The proposed method helps to provide pointers to the literature where information about challenges and specific solutions can be obtained.
期刊介绍：
Systems Engineering is a discipline whose responsibility it is to create and operate technologically enabled systems that satisfy stakeholder needs throughout their life cycle. Systems engineers reduce ambiguity by clearly defining stakeholder needs and customer requirements, they focus creativity by developing a system’s architecture and design and they manage the system’s complexity over time. Considerations taken into account by systems engineers include, among others, quality, cost and schedule, risk and opportunity under uncertainty, manufacturing and realization, performance and safety during operations, training and support, as well as disposal and recycling at the end of life. The journal welcomes original submissions in the field of Systems Engineering as defined above, but also encourages contributions that take an even broader perspective including the design and operation of systems-of-systems, the application of Systems Engineering to enterprises and complex socio-technical systems, the identification, selection and development of systems engineers as well as the evolution of systems and systems-of-systems over their entire lifecycle.
Systems Engineering integrates all the disciplines and specialty groups into a coordinated team effort forming a structured development process that proceeds from concept to realization to operation. Increasingly important topics in Systems Engineering include the role of executable languages and models of systems, the concurrent use of physical and virtual prototyping, as well as the deployment of agile processes. Systems Engineering considers both the business and the technical needs of all stakeholders with the goal of providing a quality product that meets the user needs. Systems Engineering may be applied not only to products and services in the private sector but also to public infrastructures and socio-technical systems whose precise boundaries are often challenging to define.
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