BA/MA: ENTWUF EINES MILLER-OPERATIONSVERSTÄRKERS IN EINER SIGE-TECHNOLOGIE
Be­treu­er: Lasse Cordes
Be­ginn:

MA: ENTWURF EINES RADAR-ZIELSIMULATORS FÜR AUTOMOBILE RADARSYSTEME
Be­treu­er: Tobias Braun
Be­ginn:

MA: ENTWURF EINES 6G-FRONTENDS MIT BEAMFORMING-FÄHIGKEIT BEI 157 GHZ
Be­treu­er: Tobias Braun
Be­ginn:

BA/MA: UNTERSUCHUNG UND ENTWICKLUNG VON SIGNALVERARBEITUNGSVERFAHREN ZUR RADARGESTÜTZTEN ORIENTIERUNG IN URBANEN RÄUMEN
Be­treu­er: Marc Hamme
Be­ginn:

BA/MA: KOMPENSATION VON KINEMATISCHEN STÖRUNGEN MITTELS INTEGRIERTER IMU FÜR MESSUNGEN MIT EINEM FMCW RADAR
Be­treu­er: Niklas Muckermann
Be­ginn:

MA: UN­TER­SU­CHUNG DES EIN­FLUS­SES NEUER SI­GE-HALB­LEI­TER­TECH­NO­LO­GI­EN AUF DIE IN RA­DAR­SEN­SO­REN EIN­GE­SETZ­TEN IN­TE­GRIER­TEN HOCH­FRE­QUENZ­SCHAL­TUN­GEN
Be­treu­er: David Star­ke
Be­ginn:

MA: MUL­TIS­PEK­TRA­LE SAR-BILD­GE­BUNG MIT UL­TRA-HO­HER AB­STANDS­AUF­LÖ­SUNG DURCH SYN­THE­TI­SCHE BAND­BREI­TE
Be­treu­er: Jan Siska
Be­ginn:

BA/MA: MEDIZINTECHNISCHE FRAGESTELLUNGEN
Be­treu­erin: Antje Pohl
Be­ginn:

MA: Person Identification Using FMCW Radar and Machine Learning Techniques
Betreuer: Salah Abouzaid
This project involves using FMCW radar combined with machine learning to identify individuals based on unique characteristics. It includes data collection, algorithm development, and model training. Strong programming skills are necessary. Prior experience in radar signal processing and a basic understanding of machine learning are preferred.

MA: Human Activity Recognition Using D-Band FMCW Radar
Betreuer: Salah Abouzaid
This project focuses on detecting and recognizing human activities using a high-resolution D-band FMCW radar sensor. Strong programming skills are necessary. Experience in radar signal processing and a basic understanding of machine learning are advantageous.

MA: Air-Writing Recognition Using FMCW Radar and Machine Learning Techniques
Betreuer: Salah Abouzaid
This project aims to use an FMCW radar sensor to track hand movements for in-air character writing, developing a machine learning model for character recognition. Strong programming skills are required. Prior experience in signal processing and a foundational understanding of machine learning are preferred.

MA: Measuring Glass Fiber Content Using FMCW Radar and a Machine Learning Model
Betreuer: Salah Abouzaid
The goal is to develop a method for measuring glass fiber content using FMCW radar. The project will involve experimental setups and signal processing. Strong programming skills are necessary, and knowledge of radar principles and machine learning is beneficial.