Sökning: "Single Input Multiple Output"

Visar resultat 1 - 5 av 50 uppsatser innehållade orden Single Input Multiple Output.

1. 1. Design of a grating lobe mitigated antenna array architecture integrated with low loss PCB filtering structures

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Eduardo Salvador Lopez; [2023]
   Nyckelord :Band-pass filters; Beam forming networks; Irregular subarrays; Particle Swarm Optimization; PCB; Penrose tessellation; Planar phased arrays; Quantization lobes; Scanning; Suspended stripline; Bandpassfilter; lobformning; matningsnätverk; Irreguljära gruppantenner; Particle Swarm Optimization; PCB; Penrose tessellation; Plana fasade gruppantenner; sidlober; Utstyrningsvinkel; Suspended stripline;

   Sammanfattning : Massive multiple input multiple output - MIMO systems are a reality and modern communication systems rely upon this technology to cope with the increasing need for capacity and network usage. Antenna arrays are at the heart of the of the massive-MIMO system and are the enabling technology. LÄS MER

3. 2. Digitally Controlled Oscillator Topologies for mm-Wave Pulsed Coherent Radar

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Klas Junskog; [2023]
   Nyckelord :oscillators; mm-wave; radar; Technology and Engineering;

   Sammanfattning : The advancement of future generations of wireless communication and radar sensing warrants the need for mm-wave digitally controlled oscillators (DCOs) with high-frequency trade-offs in consideration. The purpose of this project is to investigate DCO topologies inspired from scientific literature. LÄS MER

4. 3. Exploration of Radar Cross Section Models and Distributed Sensing Techniques in JCAS Cell-free Massive MIMO

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Qinglin Zou; [2023]
   Nyckelord :Joint communication and sensing; Cell-free massive MIMO; Swerling models; Distributed Sensing; Gemensam kommunikation och avkänning; Cellfri massiv MIMO; Swerling modeller; Distributed Sensing;

   Sammanfattning : 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. LÄS MER

5. 4. Simulation and Testing of a MU-MIMO Beamforming System

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Nazyar Mehdishishavan; Zonghan Wang; [2023]
   Nyckelord :Multi-User Multiple-Input Multiple-Output MU-MIMO ; Beamforming; Sounding Reference Signal SRS ; Reciprocity-based; Butler matrix; Advanced Antenna System AAS ; Technology and Engineering;

   Sammanfattning : Multi-User Multiple-Input Multiple-Output (MU-MIMO) technology has become increasingly important in the field of wireless communication due to its ability to highly increase the capacity and efficiency of wireless networks [1]. Beamforming, as a technique used in MU-MIMO systems, improves network performance by improving signal quality and reducing interference. LÄS MER

7. 5. Real-time uncertainty estimation for deep learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Árni Dagur Guðmundsson; [2023]
   Nyckelord :Machine Learning; Deep Learning; Uncertainty Estimation; Evidential Deep Learning; Computer Vision; Maskininlärning; Djupinlärning; Osäkerhetsuppskattning; Evidential Deep Learning; Datorseende; Vélnám; Djúptauganet; Óvissumat; Evidential Deep Learning; Tölvusjón;

   Sammanfattning : Modern deep neural networks do not produce well calibrated estimates of their own uncertainty, unless specific uncertainty estimation techniques are applied. Common uncertainty estimation techniques such as Deep Ensembles and Monte Carlo Dropout necessitate multiple forward pass evaluations for each input sample, making them too slow for real-time use. LÄS MER