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

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 NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer, and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. For more information, visit www.nxp.com Bright Minds. Bright Futures. We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills. Commitment At NXP. We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress. Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind. We have programs in place focused on diversity, inclusion and equality. Thank you for considering a career at NXP. To help you prepare for the different steps in our hiring process, see the following useful advice and tips. Are you already an NXP employee? Do not apply here. Instead, you must apply via our internal career page. Thank you for your interest in supporting our recruitment efforts. Please note that NXP operates under a strict Preferred Supplier List (PSL) for all recruitment activities. Any candidate profiles or resume submitted without a prior written agreement or explicit request from our Talent Acquisition team will be considered unsolicited. Such submissions will be deemed free of any obligations, and no fees will be paid by NXP or any of its affiliates, subsidiaries, or divisions - regardless of whether the candidate is hired, either coincidentally or otherwise. Thank you for your understanding.