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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jensen, A. Coopmans, C. YangQuan Chen |
| Copyright Year | 2013 |
| Description | Author affiliation: Embedded Syst. & Autom. (MESA) Lab., Univ. of California, Merced, Merced, CA, USA (YangQuan Chen) || Utah Water Res. Lab., Utah State Univ., Logan, UT, USA (Jensen, A.; Coopmans, C.) |
| Abstract | Orientation estimation is very important for development of unmanned aerial systems (UAS). Kalman filters are widely used; however they assume linearity and Gaussian statistics. While these assumptions work well for high-quality, high-cost sensors, they do not work as well for low-cost, low-quality sensors. In these cases, complementary filters are used since no assumptions are made with regards to linearity and statistics. This paper gives a review of the different types of complementary filters being developed. Basic examples are shown with details about how they are derived and simulations that show how they work. Guidelines are then given about when complementary filters are best used for UAS navigation. |
| Starting Page | 500 |
| Ending Page | 507 |
| File Size | 1757905 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781479908158 |
| e-ISBN | 9781479908172 |
| DOI | 10.1109/ICUAS.2013.6564726 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-05-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Accelerometers Frequency-domain analysis Aerospace electronics Frequency estimation Sensor systems Reliability |
| Content Type | Text |
| Resource Type | Article |
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