Essays about: "detection using radar thesis"
Showing result 1 - 5 of 64 essays containing the words detection using radar thesis.
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1. Exploration of Radar Cross Section Models and Distributed Sensing Techniques in JCAS Cell-free Massive MIMO
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Joint Communication and Sensing (JCAS) technology enables the sharing of infrastructure, resources, and signals between communication and sensing. However, studying the performance and algorithms using appropriate target reflectivity models for detection poses a significant challenge. READ MORE
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2. Detecting flight patterns using deep learning
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : With more aircraft in the air than ever before, there is a need for automating the surveillance of the airspace. It is widely known that aircraft with different intentions fly in different flight patterns. Support systems for finding different flight patterns are therefore needed. READ MORE
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3. Constellation Optimization using Genetic Algorithm : Combining SAR & Optical Sensors with AI Requirements
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With increasing world tensions and improvements of satellites and their sensors, the interest and possibility of using space and satellites for defensive purposes has increased greatly. However, not much research has been conducted into the needs and possibilities of satellite constellations over Sweden, especially using SAR and optical sensors combined with AI object detection. READ MORE
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4. ESPRIT for DOA estimation
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Radar is a tool that has had a tremendous impact since its discovery. This thesis evaluates an algorithm called ESPRIT. ESPRIT is used in radar to estimate the angles to detected objects. The angle of an object is referred to as its DOA (Direction of arrival). READ MORE
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5. Improving Image Classification using Domain Adaptation for Autonomous Driving : A Master Thesis in Collaboration with Scania
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Autonomous driving is a rapidly changing industry and has recently become a heavily focused research topic for vehicle producing companies and research organizations. These autonomous vehicles are typically equipped with sensors such as Light Detection and Radar (LiDAR) in order to perceive their surroundings. READ MORE