Sökning: "Extended Kalman filter"
Visar resultat 1 - 5 av 189 uppsatser innehållade orden Extended Kalman filter.
1. Real-Time Navigation for Swarms of Synthetic Aperture Radar (SAR) Satellites
Master-uppsats, Luleå tekniska universitet/RymdteknikSammanfattning : The pursuit of precision and flexibility in satellite missions has led to an increased number of formation flying missions being developed. These systems consist of multiple satellites flying at close distances (from a few kilometres to a few meters) to achieve common objectives. LÄS MER
2. 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
3. Collaborative Mapping with Drone Swarms Utilizing Relative Distance Measurements
Master-uppsats, Linköpings universitet/ReglerteknikSammanfattning : The field of use for unmanned aerial vehicles, UAVs, has completely exploded in the last decade. Today they are used for surveillance missions and inspecting places that are difficult for people to access. To increase the efficiency and robustness in the execution of these types of missions, swarms of cooperating drones can be used. LÄS MER
4. Traffic State Estimation on Swedish Highways : Model Comparison using Multisource Data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Due to the escalating demand for traffic information and management, the significance of traffic state estimation, which involves the assessment of traffic conditions on road segments with limited measurement data, is increasing. Two primary estimation methods are model-driven and data-driven. LÄS MER
5. Assisted GNSS Positioning using State Space Corrections
Master-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : Classical GNSS based positioning has accuracy limitations due to many sources oferror. The error sources range from clock errors and orbit errors toerrors due to variations in atmospheric propagation delays. One way to improve GNSSpositioning is to generate real time corrections using a GNSS reference network. LÄS MER