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MIMO OFDM Radar for pose recognition

Kroeze, T. (2025) MIMO OFDM Radar for pose recognition.

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Abstract:Orthogonal Frequency Division Multiplexing (OFDM) is a highly efficient technique of transmitting data digitally by utilizing multiple orthogonal subcarriers. By applying beamforming to OFDM it becomes achievable to focus the energy of the OFDM signal in specific directions. Performing range, Doppler and angle estimations allows the accurate estimation of target positions, which is further improved by beamforming. In this research, OFDM and beamforming will be jointly investigated to develop a system that is capable of accurately determining human limb motion and body pose. Modeling the interaction between human limbs and the OFDM signal with beamforming enables the extraction of meaningful data for pose recognition. The system successfully detected a squatting position using a coarse human model, showing that signal-processing applications have promising potential for pose recognition. Results demonstrate a computationally efficient method of pose recognition under constrained conditions. By using more advanced signal-processing techniques, current limitations in effective range and angular resolution can be mitigated.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:53 electrotechnology
Programme:Electrical Engineering BSc (56953)
Link to this item:https://purl.utwente.nl/essays/107937
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