Master Thesis: IMU Drift Compensation

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Lund, SWE
In-Office
Entry level
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
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The Role
Research and develop a radar-assisted IMU motion-tracking solution to reduce accumulated drift. Responsibilities include literature review, IMU motion-estimation development, radar measurement integration, sensor synchronization and calibration, coordinate alignment, sensor-fusion algorithm implementation, performance evaluation, and hardware proof-of-concept demonstration. The work will compare radar-assisted tracking with IMU-only solutions and document results, limitations, and recommendations.
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About this opportunity
We're looking for students interested in radar sensing, inertial navigation and signal processing to support our research on the evolution of 6G. This master thesis project will investigate how radar-derived motion and range information can be combined with measurements from an Inertial Measurement Unit (IMU) to reduce accumulated drift and improve motion-tracking accuracy. The work will be conducted in collaboration with our researchers at the device platform research organization within Ericsson.
The project's target is to develop and demonstrate a radar-assisted IMU motion tracking solution. The primary challenge, and research topic, is to estimate complementary motion information from radar measurements and fuse it with inertial data while accounting for sensor calibration, coordinate alignment and timing. The work will explore signal-processing and sensor fusion techniques, with the goal of demonstrating improved tracking stability compared with IMU-only solutions.
We are seeking a student with a strong interest in communication technology and hands-on experience or interest in algorithm development and experimental implementation.
What you will do
  • Conduct a literature study summarizing the prior art in IMU drift compensation, radar odometry, radar and IMU calibration, and multi-sensor fusion.
  • Develop a baseline IMU-based motion-estimation chain and characterize how sensor errors accumulate under representative motion conditions.
  • Investigate how radar measurements, such as range and radial velocity, can provide complementation motion information for continuous drift correction.
  • Define and implement methods for synchronizing, calibrating and aligning radar and IMU measurements in time and space.
  • Investigate and implement a suitable sensor-fusion approach, for example a Kalman-filter-based or optimization-based method, to combine radar-derived inertial motion estimates.
  • Analyze and evaluate the performance of the radar-assisted solution. This includes qualifying tracking accuracy and drift reduction, studying robustness under different motion and environment conditions, and comparing the result with IMU-only tracking and a suitable reference measurement.

Demonstrate the developed approach in hardware-based proof-of-concept and document results, limitations and recommendations for future work.
The skills you bring
  • Final year master's student in Electrical Engineering, Engineering Physics or similar with background of electromagnetics.
  • Genuine interest in radar sensing, inertial navigation, wireless communication and hardware implementation.
  • Experience in simulation tools such as C/C++, MATLAB and Python. Experience with C/C++ is an advantage
  • Knowledge of probability, linear algebra, coordinate transformations, optimization or Kalman filtering is beneficial.
  • Eagerness to learn, ambition, an innovative mindset and the ability to collaborate effectively.
  • Fluent in English, both verbal and written communication.

Please include your transcripts with your application
Extent:
Assumed two students
Location: Lund, Sweden
Additional information : The detailed technical scope, experimental setup and implementation priorities will be refined together with the selected students. The thesis work must follow applicable confidentiality, information-security, intellectual-property and research-ethics requirements.
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Lund
Req ID: 791129

Skills Required

  • Final-year master's student in Electrical Engineering, Engineering Physics, or a similar field
  • Background in electromagnetics
  • Genuine interest in radar sensing, inertial navigation, wireless communication, and hardware implementation
  • Experience or interest in algorithm development and experimental implementation
  • Experience with simulation tools such as C/C++, MATLAB, and Python
  • Knowledge of probability, linear algebra, coordinate transformations, optimization, or Kalman filtering
  • Fluent English verbal and written communication
  • Ability to collaborate effectively

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Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.

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