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Article: Multidimensional gray-wavelet processing in interferometric fiber-optic gyroscopes
Title | Multidimensional gray-wavelet processing in interferometric fiber-optic gyroscopes |
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Authors | |
Keywords | gray model gyroscopes multi-dimension quadrature demodulation wavelet |
Issue Date | 2013 |
Citation | Measurement Science and Technology, 2013, v. 24, n. 11, article no. 115203 How to Cite? |
Abstract | A multidimensional signal processing method for a single interferometric fiber-optic gyroscope (IFOG) is proposed, to the best of our knowledge, for the first time. The proposed method, based on a novel IFOG structure with quadrature demodulation, combines a multidimensional gray model (GM) and a wavelet compression technique for noise suppression and sensitivity enhancement. In the IFOG, two series of measured rotation rates are obtained simultaneously: an in-phase component and a quadrature component. Together with the traditionally measured rate, the three measured rates are processed by the combined gray-wavelet method. Simulations show that the intensity noise and non-reciprocal phase fluctuations are effectively suppressed by this method. Experimental comparisons with a one-dimensional GM(1, 1) model show that the proposed three-dimensional method achieves much better denoising performance. This advantage is validated by the Allan variance analysis: in a low-SNR (signal-to-noise ratio) experiment, our method reduces the angle random walk (ARW) and the bias instability (BI) from 1 × 10-2 deg h -1/2 and 3 × 10-2 deg h-1 to 1 × 10-3 deg h-1/2 and 3 × 10-3 deg h -1, respectively; in a high-SNR experiment, our method reduces the ARW and the BI from 9 × 10-4 deg h-1/2 and 5 × 10-3 deg h-1 to 4 × 10-4 deg h -1/2 and 3 × 10-3 deg h-1, respectively. Further, our method increases the dimension of the state-of-the-art IFOG technique from one to three, thus obtaining higher IFOG sensitivity and stability by exploiting the increase in available information. © 2013 IOP Publishing Ltd. |
Persistent Identifier | http://hdl.handle.net/10722/317018 |
ISSN | 2023 Impact Factor: 2.7 2023 SCImago Journal Rankings: 0.523 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Yang, Yi | - |
dc.contributor.author | Wang, Zinan | - |
dc.contributor.author | Peng, Chao | - |
dc.contributor.author | Li, Zhengbin | - |
dc.date.accessioned | 2022-09-19T06:18:37Z | - |
dc.date.available | 2022-09-19T06:18:37Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Measurement Science and Technology, 2013, v. 24, n. 11, article no. 115203 | - |
dc.identifier.issn | 0957-0233 | - |
dc.identifier.uri | http://hdl.handle.net/10722/317018 | - |
dc.description.abstract | A multidimensional signal processing method for a single interferometric fiber-optic gyroscope (IFOG) is proposed, to the best of our knowledge, for the first time. The proposed method, based on a novel IFOG structure with quadrature demodulation, combines a multidimensional gray model (GM) and a wavelet compression technique for noise suppression and sensitivity enhancement. In the IFOG, two series of measured rotation rates are obtained simultaneously: an in-phase component and a quadrature component. Together with the traditionally measured rate, the three measured rates are processed by the combined gray-wavelet method. Simulations show that the intensity noise and non-reciprocal phase fluctuations are effectively suppressed by this method. Experimental comparisons with a one-dimensional GM(1, 1) model show that the proposed three-dimensional method achieves much better denoising performance. This advantage is validated by the Allan variance analysis: in a low-SNR (signal-to-noise ratio) experiment, our method reduces the angle random walk (ARW) and the bias instability (BI) from 1 × 10-2 deg h -1/2 and 3 × 10-2 deg h-1 to 1 × 10-3 deg h-1/2 and 3 × 10-3 deg h -1, respectively; in a high-SNR experiment, our method reduces the ARW and the BI from 9 × 10-4 deg h-1/2 and 5 × 10-3 deg h-1 to 4 × 10-4 deg h -1/2 and 3 × 10-3 deg h-1, respectively. Further, our method increases the dimension of the state-of-the-art IFOG technique from one to three, thus obtaining higher IFOG sensitivity and stability by exploiting the increase in available information. © 2013 IOP Publishing Ltd. | - |
dc.language | eng | - |
dc.relation.ispartof | Measurement Science and Technology | - |
dc.subject | gray model | - |
dc.subject | gyroscopes | - |
dc.subject | multi-dimension | - |
dc.subject | quadrature demodulation | - |
dc.subject | wavelet | - |
dc.title | Multidimensional gray-wavelet processing in interferometric fiber-optic gyroscopes | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1088/0957-0233/24/11/115203 | - |
dc.identifier.scopus | eid_2-s2.0-84887078432 | - |
dc.identifier.volume | 24 | - |
dc.identifier.issue | 11 | - |
dc.identifier.spage | article no. 115203 | - |
dc.identifier.epage | article no. 115203 | - |
dc.identifier.eissn | 1361-6501 | - |
dc.identifier.isi | WOS:000325847000019 | - |