Band-of-Interest-based Channel Impulse Response Fusion for Breathing Rate Estimation with UWB
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arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2023
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| _version_ | 1866915153051648000 |
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| author | Li, Sitian Balatsoukas-Stimming, Alexios Burg, Andreas |
| author_facet | Li, Sitian Balatsoukas-Stimming, Alexios Burg, Andreas |
| contents | The channel impulse response (CIR) obtained from the channel estimation step of various wireless systems is a widely used source of information in wireless sensing. Breathing rate is one of the important vital signs that can be retrieved from the CIR. Recently, there have been various works that extract the breathing rate from one carefully selected CIR delay bin that contains the breathing information. However, it has also been shown that the accuracy of this estimation is very sensitive to the measurement scenario, e.g., if there is any obstacle between the transceivers and the target, the position of the target, and the orientation of the target, since only one CIR delay bin does not contain a sufficient periodic component to retrieve the breathing rate. We focus on such scenarios and propose a CIR delay bin fusion method to merge several CIR bins to achieve a more accurate and reliable breathing rate estimate. We take measurements and showcase the advantages of the proposed method across scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2302_02917 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Band-of-Interest-based Channel Impulse Response Fusion for Breathing Rate Estimation with UWB Li, Sitian Balatsoukas-Stimming, Alexios Burg, Andreas Signal Processing The channel impulse response (CIR) obtained from the channel estimation step of various wireless systems is a widely used source of information in wireless sensing. Breathing rate is one of the important vital signs that can be retrieved from the CIR. Recently, there have been various works that extract the breathing rate from one carefully selected CIR delay bin that contains the breathing information. However, it has also been shown that the accuracy of this estimation is very sensitive to the measurement scenario, e.g., if there is any obstacle between the transceivers and the target, the position of the target, and the orientation of the target, since only one CIR delay bin does not contain a sufficient periodic component to retrieve the breathing rate. We focus on such scenarios and propose a CIR delay bin fusion method to merge several CIR bins to achieve a more accurate and reliable breathing rate estimate. We take measurements and showcase the advantages of the proposed method across scenarios. |
| title | Band-of-Interest-based Channel Impulse Response Fusion for Breathing Rate Estimation with UWB |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2302.02917 |