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

Nxp · Eindhoven

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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