Detta självständiga arbete undersöker stridstekniska obemannade luftfarkostsystem (SUAV) och potentiella tekniska system som är motverkande mot obemannade luftfarkoster (CUAS). Nyttjandet av stridstekniska obemannade luftfarkostsystem har ökat kraftigt och har observerats i både Syrien och Ukraina. I den ryska armén har de sett framgångsrik användning i samverkan med befintliga artillerisystem. Syftet med detta självständiga arbete är att analysera och förstå de effekter som tekniken har på militära operationer. I detta arbete används det militärtekniska konceptet ’militär nytta’ Andersson m.fl. (2015) i kombination med Johnsonkriteriet som används för att beräkna räckvidden på infraröda sensorer. Tillsammans med användningen av systemanalys och scenariobaserade metoder, har stridstekniska obemannade luftfarkostsystem och tekniska system som är motverkande mot obemannade luftfarkoster värderats med konceptet militär nytta. Slutsatserna från detta arbete visar att stridstekniska obemannade luftfarkostsystem har en god militär nytta då de används mot en motoriserad skyttebataljon (militär aktör), i förberedelsefasen av en fördröjningsstrid (kontext). Vid värderingen av de två tekniska systemalternativen som motverkar obemannade luftfarkoster; eldvapensystem och robotsystem, har bärbara luftvärnsrobotsystem bedömts ha en bättre militär nytta än automatkanonsystem på grund av dess möjliga användning i avsuttna operationer. / This independent project studies Small Unmanned Aerial Vehicles and potential Counter Unmanned Aerial Systems. The usage of Small Unmanned Aerial Systems has grown rapidly and has seen use in warfare in both Syria and Ukraine. In the Russian armed forces, they have seen successful use when used in combination with legacy artillery systems. The purpose of this independent project is to analyse and understand the effects that technology has on military operations. In this project, a military-technology concept called ‘military utility’ Andersson et al. (2015) is used in combination with the Johnson criteria which is used to calculate infrared sensor range. Together with the use of systems analysis and scenario-based methods, Small Unmanned Aerial Vehicles and two identified Counter Unmanned Aerial System alternatives have been assessed with the military utility concept. The conclusions of this independent project show that Small Unmanned Aerial Vehicles have a good degree of military utility when used against a motorized infantry battalion (military actor), in the preparatory phase of a delay operation (context). When assessing the two Counter Unmanned Aerial System alternatives; gun-based systems and missile air defence systems, man-portable air-defence systems have, because of their possible use in dismounted operations, been considered to have a greater military utility in comparison to autocannon systems.

Counter Unmanned Aerial System (CUAS) security systems have unrealistic performance expectations hyped on marketing and idealistic testing environments. By developing an agent-based model to simulate these systems, an average performance metric can be obtained, thereby providing better representative values of true system performance.<br><br>Due to high cost, excessive risk, and exponentially large parameter possibilities, it is unrealistic to test a CUAS system for optimal performance in the real world. Agent-based simulation can provide the necessary variability at a low cost point and allow for numerous parametric possibilities to provide actionable output from the CUAS system. <br><br>This study describes and documents the Simulation of CUAS Networks and Sensors (SCANS) Framework in a novel attempt at developing a flexible modeling framework for CUAS systems based on device parameters. The core of the framework rests on sensor and communication device agents. These sensors, including Acoustic, Radar, Passive Radio Frequency (RF), and Camera, use input parameters, sensor specifications, and UAS specifications to calculate such values as the sound pressure level, received signal strength, and maximum viewable distance. The communication devices employ a nearest-neighbor routing protocol to pass messages from the system which are then logged by a command and control agent. <br><br>This framework allows for the flexibility of modeling nearly any CUAS system and is designed to be easily adjusted. The framework is capable of reporting true positives, true negatives, and false negatives in terms of UAS detection. For testing purposes, the SCANS Framework was deployed in AnyLogic and models were developed based on existing, published, empirical studies of sensors and detection UAS.<br>