ComplexBeat: Breathing Rate Estimation from Complex CSI
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866910834559549440 |
|---|---|
| author | Li, Sitian Kristensen, Andreas Toftegaard Burg, Andreas Balatsoukas-Stimming, Alexios |
| author_facet | Li, Sitian Kristensen, Andreas Toftegaard Burg, Andreas Balatsoukas-Stimming, Alexios |
| contents | In this paper, we explore the use of channel state information (CSI) from a WiFi system to estimate the breathing rate of a person in a room. In order to extract WiFi CSI components that are sensitive to breathing, we propose to consider the delay domain channel impulse response (CIR), while most state-of-the-art methods consider its frequency domain representation. One obstacle while processing the CSI data is that its amplitude and phase are highly distorted by measurement uncertainties. We thus also propose an amplitude calibration method and a phase offset calibration method for CSI measured in orthogonal frequency-division multiplexing (OFDM) multiple-input multiple-output (MIMO) systems. Finally, we implement a complete breathing rate estimation system in order to showcase the effectiveness of our proposed calibration and CSI extraction methods. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_12657 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | ComplexBeat: Breathing Rate Estimation from Complex CSI Li, Sitian Kristensen, Andreas Toftegaard Burg, Andreas Balatsoukas-Stimming, Alexios Signal Processing In this paper, we explore the use of channel state information (CSI) from a WiFi system to estimate the breathing rate of a person in a room. In order to extract WiFi CSI components that are sensitive to breathing, we propose to consider the delay domain channel impulse response (CIR), while most state-of-the-art methods consider its frequency domain representation. One obstacle while processing the CSI data is that its amplitude and phase are highly distorted by measurement uncertainties. We thus also propose an amplitude calibration method and a phase offset calibration method for CSI measured in orthogonal frequency-division multiplexing (OFDM) multiple-input multiple-output (MIMO) systems. Finally, we implement a complete breathing rate estimation system in order to showcase the effectiveness of our proposed calibration and CSI extraction methods. |
| title | ComplexBeat: Breathing Rate Estimation from Complex CSI |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2502.12657 |