Wavelet-based pre-filtering for low cost inertial sensors
This study proposed to de-noise the IMU signal by effectively band-limiting the signal at the output of each inertial measurement sensor prior to its mechanization and further processing by the Strapdown INS (SDINS) algorithm. Wavelet Multi-Resolution Algorithm (WMRA) is utilized to improve the perf...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Asian Network for Scientific Information
2010
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/17627/ http://psasir.upm.edu.my/id/eprint/17627/1/17627.pdf |
| _version_ | 1848843293585047552 |
|---|---|
| author | Hasan, Ahmed Mudheher Samsudin, Khairulmizam Ramli, Abdul Rahman Raja Abdullah, Raja Syamsul Azmir |
| author_facet | Hasan, Ahmed Mudheher Samsudin, Khairulmizam Ramli, Abdul Rahman Raja Abdullah, Raja Syamsul Azmir |
| author_sort | Hasan, Ahmed Mudheher |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This study proposed to de-noise the IMU signal by effectively band-limiting the signal at the output of each inertial measurement sensor prior to its mechanization and further processing by the Strapdown INS (SDINS) algorithm. Wavelet Multi-Resolution Algorithm (WMRA) is utilized to improve the performance of the inertial sensors by removing their short term noise. The aim of this study is to reveal how WMRA is utilized to improve the performance of the inertial measurement unit systems and investigate how wavelet analysis can be used to analyse and de-noise output of the low-cost inertial sensors. The proposed multi-level decomposition was applied to real accelerometer and gyroscopes data obtained from MEMS IMU (MotionPak II). Different level of decomposition and thresholding filter was evaluated to obtain optimal results. Analysis of the results demonstrate reducing the INS position and velocity error for the specific IMU. |
| first_indexed | 2025-11-15T08:12:44Z |
| format | Article |
| id | upm-17627 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T08:12:44Z |
| publishDate | 2010 |
| publisher | Asian Network for Scientific Information |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-176272016-09-29T03:43:10Z http://psasir.upm.edu.my/id/eprint/17627/ Wavelet-based pre-filtering for low cost inertial sensors Hasan, Ahmed Mudheher Samsudin, Khairulmizam Ramli, Abdul Rahman Raja Abdullah, Raja Syamsul Azmir This study proposed to de-noise the IMU signal by effectively band-limiting the signal at the output of each inertial measurement sensor prior to its mechanization and further processing by the Strapdown INS (SDINS) algorithm. Wavelet Multi-Resolution Algorithm (WMRA) is utilized to improve the performance of the inertial sensors by removing their short term noise. The aim of this study is to reveal how WMRA is utilized to improve the performance of the inertial measurement unit systems and investigate how wavelet analysis can be used to analyse and de-noise output of the low-cost inertial sensors. The proposed multi-level decomposition was applied to real accelerometer and gyroscopes data obtained from MEMS IMU (MotionPak II). Different level of decomposition and thresholding filter was evaluated to obtain optimal results. Analysis of the results demonstrate reducing the INS position and velocity error for the specific IMU. Asian Network for Scientific Information 2010 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/17627/1/17627.pdf Hasan, Ahmed Mudheher and Samsudin, Khairulmizam and Ramli, Abdul Rahman and Raja Abdullah, Raja Syamsul Azmir (2010) Wavelet-based pre-filtering for low cost inertial sensors. Journal of Applied Sciences, 10 (19). pp. 2217-2230. ISSN 1812-5654; ESSN: 1812-5662 http://www.scialert.net/abstract/?doi=jas.2010.2217.2230 10.3923/jas.2010.2217.2230 |
| spellingShingle | Hasan, Ahmed Mudheher Samsudin, Khairulmizam Ramli, Abdul Rahman Raja Abdullah, Raja Syamsul Azmir Wavelet-based pre-filtering for low cost inertial sensors |
| title | Wavelet-based pre-filtering for low cost inertial sensors |
| title_full | Wavelet-based pre-filtering for low cost inertial sensors |
| title_fullStr | Wavelet-based pre-filtering for low cost inertial sensors |
| title_full_unstemmed | Wavelet-based pre-filtering for low cost inertial sensors |
| title_short | Wavelet-based pre-filtering for low cost inertial sensors |
| title_sort | wavelet-based pre-filtering for low cost inertial sensors |
| url | http://psasir.upm.edu.my/id/eprint/17627/ http://psasir.upm.edu.my/id/eprint/17627/ http://psasir.upm.edu.my/id/eprint/17627/ http://psasir.upm.edu.my/id/eprint/17627/1/17627.pdf |