| Autor: |
Sameera Palipana, Stephan Sigg |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
DFHS@BuildSys |
| DOI: |
10.1145/3360773.3360875 |
| Popis: |
We present an approach to isolate the angular response of a human on a receiver-side beamformer when the line of sight is several magnitudes stronger than the human response. The solution is implemented in a 5G testbed using a software-defined radio (SDR) platform. Beamforming with SDRs faces the challenge to train the beamformer to different azimuth angles. We present an algorithm to generate the steering vectors for all azimuth angles from a few training points amidst imprecise prior information. Furthermore, we detect a human and estimate the direction from strong signal perturbations towards that angle. Experiments for a person performing in-place activities in a semi-anechoic chamber show a detection accuracy of 100% and a maximum median direction of arrival error of 4°. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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