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Attitude estimation and sensor identification utilizing nonlinear filters based on a low-cost MEMS magnetometer and sun sensor

Mirzaei Teshnizi, M ; Sharif University of Technology | 2015

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  1. Type of Document: Article
  2. DOI: 10.1109/MAES.2015.150069
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2015
  4. Abstract:
  5. A combination of low-cost micro-electoro-mechanical sensors (MEMSs) and nonlinear attitude estimation algorithm techniques can provide an inexpensive and accurate system for navigation and attitude determination. The features of MEMSs are their light weight and small size; hence, the MEMSs have found significant attention in low-cost navigation and control systems [1]. A common disadvantage of these sensors is the significant errors that accompany the corresponding measurements. The accuracy obtained using MEMSs depends on a number of factors, such as scale factor, bias, and random noise corrections [2]. However, these low-cost sensors suffer from large noise and errors, making calibration and error identification of critical importance [3]
  6. Keywords:
  7. Algorithms ; Bandpass filters ; Costs ; Errors ; Attitude determination ; Attitude estimation ; Error identification ; Light weight and small sizes ; Mechanical sensors ; Navigation and control ; Number of factors ; Sensor identification ; Cost estimating
  8. Source: IEEE Aerospace and Electronic Systems Magazine ; Volume 30, Issue 12 , December , 2015 , Pages 20-33 ; 08858985 (ISSN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7381287