Internship: Phase-Noise-Resilient Architectures for Large MIMO FMCW Automotive Radars
Core
Research and evaluate next-generation automotive radar architectures combining large-scale MIMO imaging and phased-array beam steering to address phase noise and multipath propagation.
Role type
Research intern (automotive radar systems)
Builds
Simulation frameworks for hybrid radar architectures and mathematical models for system performance analysis.
Domain
Automotive radar, wireless communications, signal processing
Deliverable
research
Required skills
FMCW radar, MIMO radar, phased-array beamforming, array signal processing, FFT-based processing, MATLAB, Python, version control
Preferred skills
DDMA processing, direction-of-arrival estimation, structured software development practices
Responsibilities
Investigate phase noise accumulation and multipath propagation in large MIMO FMCW radar systems; Develop mathematical models and simulation frameworks; Research and evaluate hybrid radar architectures; Explore beam-scanning strategies and sparse transmit activation methods; Design and perform simulations to quantify system trade-offs.
Seniority
Intern
