Internship: Phase-Noise-Resilient Architectures for Large MIMO FMCW Automotive Radars

Description du poste:

Job Responsibility:

The internship focuses on the exploration and evaluation of next-generation automotive radar architectures that combine the benefits of large-scale MIMO imaging and phased-array beam steering.
* Investigate the impact of phase noise accumulation and multipath propagation in large MIMO FMCW radar systems employing DDMA and related techniques.
* Develop mathematical models and simulation frameworks to analyze radar system performance, including angle resolution, Doppler resolution, detection capability, and phase-noise robustness.
* Research and evaluate hybrid radar architectures that combine MIMO imaging capability with directional phased-array transmission.
* Explore beam-scanning strategies, DDMA-based transmission schemes, sparse transmit activation methods, and subarray-based beamforming concepts.
* Design and perform MATLAB and/or Python simulations to compare alternative radar architectures and quantify associated system trade-offs.

Project Deliverables
* Literature review on MIMO radar, phased-array radar, DDMA processing, and phase-noise effects.
* Simulation framework for evaluating hybrid radar architectures.
* Analysis of trade-offs between angular resolution, Doppler resolution, frame rate, phase-noise robustness, and implementation complexity.
* Evaluation of array configurations, beam scheduling approaches, and waveform design alternatives.
* Final technical report and presentation summarizing findings and recommendations.

Learning Objectives
During this internship, the student will gain hands-on experience in:
* Advanced FMCW automotive radar systems and signal processing.
* MIMO radar, phased-array beamforming, and imaging radar concepts.
* Array signal processing and direction-of-arrival estimation techniques.
* System-level radar architecture design and performance optimization.
* Research methodologies involving theoretical analysis, simulation, and engineering trade-off evaluation.

Job Qualification:
* The candidate must be pursuing a Master's degree in Electrical Engineering, Signal Processing, Applied Mathematics, Physics, or a related technical discipline.
* Strong interest in radar systems, wireless communications, signal processing, and sensing technologies.
* Familiarity with FMCW radar, MIMO radar, phased arrays, beamforming, antenna arrays, and RF impairments such as phase noise is highly beneficial.
* Good understanding of FFT-based processing, range-Doppler processing, detection theory, estimation theory, array signal processing, and direction-of-arrival estimation.
* Experience with MATLAB and/or Python for modeling, simulation, visualization, and algorithm development.
* Knowledge of structured software development practices and version control tools such as Git is a plus.
* Self-motivated, curious, analytical, and comfortable working on open research questions with both independent and collaborative work styles.
* Strong written and verbal communication skills, with the ability to document technical findings and present results clearly.

More information about NXP in the Netherlands...
#LI-f5d0