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Visar resultat 1 - 5 av 112 uppsatser som matchar ovanstående sökkriterier.
1. Design and Implementation of a Rocket Launcher Hybrid Navigation
Master-uppsats, KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanikSammanfattning : Rocket Factory Augsburg (RFA) a German New Space Startup is developing a three-stage rocket launcher aiming at LEO/SSO orbits. A fundamental responsibility of the GNC team is the development of the rocket navigation algorithm to estimate the attitude, position, and velocity allowing the guidance and control loops to autonomously steer the rocket. LÄS MER
2. Improving network performance with a polarization-aware routing approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Traffic polarization in networks refers to the phenomenon where traffic tends to concentrate along specific routes or edges when doing multipath routing, leading to imbalanced flow patterns. This spatial distribution of traffic can result in congested and overburdened links, while other routes remain underutilized. LÄS MER
3. Performance Evaluation of LoRa networks for Air-to-Ground Communications
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The current focus on the Internet of Things (IoT) has led to the emergence of many network scenarios with unlimited use cases, including smart homes, smart cities, smart agriculture, and more. Unmanned aerial vehicles (UAVs), also known as drones, have become increasingly popular due to their versatility and ability to collect and transmit data through various sensors and cameras. LÄS MER
4. Surface Reconstruction using Multipath Propagation in Indoor MIMO Radar
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Using active radar for localization in indoor environments is challenging. By signal reflection off walls and other static objects, false targets occur, referred to as multipath "ghosts". These are a significant hinder in interpreting the data. LÄS MER
5. Development of AI/ML Methods for Advanced Device Localization in Beyond 5G Systems
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : This master thesis aims to investigate the positioning accuracy improvements of device localization by the implementation of AI/ML functionalities. In this project, we use the fifth-generation(5G) New Radio (NR) system and focus on indoor factories. LÄS MER