Sökning: "noise radar"
Visar resultat 1 - 5 av 66 uppsatser innehållade orden noise radar.
1. Robust Aircraft Positioning using Signals of Opportunity with Direction of Arrival
Master-uppsats, Linköpings universitet/ReglerteknikSammanfattning : This thesis considers the problem of using signals of opportunity (SOO) with known direction of arrival (DOA) for aircraft positioning. SOO is a collective name for a wide range of signals not intended for navigation but which can be intercepted by the radar warning system on an aircraft. LÄS MER
2. Evaluation of FMCW Radar Jamming Sensitivity
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och systemSammanfattning : In this work, the interference sensitivity of an FMCW radar has been evaluated by studying the impact on a simulated detection chain. A commercially available FMCW radar was first characterized and its properties then laid the foundation for a simulation model implemented in Matlab. LÄS MER
3. Classification of Radar Emitters using Semi-Supervised Contrastive Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Radar is a commonly used radio equipment in military and civilian settings for discovering and locating foreign objects. In a military context, pilots being discovered by radar could have fatal consequences. LÄS MER
4. Contribution to the Understanding of the Effects of Propagation through the Ionosphere of P-band SAR Data
Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : The BIOMASS mission from the European Space Agency (ESA) is designed to measurebiomass and carbon content in Earth’s forests. To account for phase changes caused byionospheric variations, a map-drift autofocus algorithm is developed, which utilises a phasescreen of the ionosphere to eliminate phase errors in the signal. LÄS MER
5. MmWave Radar-based Deep Learning Collision Prediction
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Autonomous drone navigation in classical approaches typically involves constructing a map representation and employing path planning and collision checking algorithms within that map. Recently, novel deep learning techniques combined with depth camera observations have emerged as alternative approaches capable of achieving comparable collision-free performance. LÄS MER