Research & development - Eindhoven | More than two weeks ago
The range between two BLE devices can be estimated based on three different methods: (i) Received signal strength indicator (ii) Time-of-arrival or Time-difference-of-arrival, (iii) phase evaluation of the tone exchange between two radios. The phase-based ranging in combination with super resolution algorithms is more promising than other techniques in multi-path environments. The challenge in phase-based ranging is to estimate the channel response from the IQ samples on few tones and then estimate the distance from the channel response.
In this project, you will attempt to use the neural networks to estimate the channel response from the IQ samples at both devices which perform ranging. The recurrent neural networks can be evaluated as a starting point as there is temporal structure in the channel response of different tones. The estimated channel response will be then used in combination with super resolution algorithms and/or other neural network architectures to ultimately estimate the range between two devices. Depending on the performance and quality of the researched solutions, a publication in a reputed conference or journal is possible.
Your Tasks Involve:
You will be working on cutting-edge research on a topic that is relevant to both academic research and industrial applications. To help you in this journey, we offer a flexible environment where you can be the leader of your own research while at the same time have support of experts from signal processing and systems design to complete your tasks. As part of the IoT team in IMEC-Netherlands you will have opportunities to learn from some of the best minds in analog and digital circuits as well as other research domains.
Does this project sound like an interesting next step in your career at imec? Don’t hesitate to submit your application by clicking on ‘APPLY NOW’.