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MEMS technology quality requirements as applied to multibeam echosounder

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Small, lightweight, power-efficient and low-cost microelectromechanical system (MEMS) inertial sensors and microcontrollers available in the market today help reduce the instability of Multibeam Sonars. Current MEMS inertial measurement units (IMUs) come in many shapes, sizes, and costs — depending on the application and performance required. Although MEMS inertial sensors offer affordable and appropriately scaled units, they are not currently capable of meeting all requirements for accurate and precise attitudes, due to their inherent measurement noise. The article presents the comparison of different MEMS technologies and their parameters regarding to the main application, namely Multibeam Echo Sounders (MBES). The quality of MEMS parameters is crucial for further MBES record-processing. The article presents the results of undertaken researches in that area, and these results are relatively positive for low-cost MEMS. The paper undertakes some vital aspect of using MEMS in the attitude and heading reference system (AHRS) context. The article presents a few aspects of MEMS gyro errors and their estimation process in the context of INS processing flow, as well as points out the main difficulties behind the INS when using a few top MEMS technologies.
Rocznik
Tom
Strony
59--64
Opis fizyczny
Bibliogr. 18 poz., rys., tab.
Twórcy
autor
  • Gdansk University of Technology, Poland
autor
  • Gdansk University of Technology, Poland
Bibliografia
  • 1. Anderson B. D. O., Moore J. B.: Optimal Filtering (Dover Books on Electrical Engineering). Paperback – January 5, 2005.
  • 2. Craig J. B., Blondel Ph.: Developments in the application of multibeam sonar backscatter for seafloor habitat mapping, Applied Acoustics, 2008.
  • 3. Li W., Wang J.: Effective Adaptive Kalman Filter for MEMSIMU/ Magnetometers Integrated Attitude and Heading Reference Systems, The Journal of Navigation, 2012.
  • 4. Arshad A., Rizal M.: Recent advancement in sensor technology for underwater applications, , Indian Journal OF Geo Marine Science 2009.
  • 5. Prandi L., Caminada C., Coronato L.: A low-power 3-axis digital-output MEMS gyroscope with single drive and multiplexed angular rate readout- Solid-State Circuits , 2011, ieeexplore.
  • 6. Zhu R., Sun D., Zhou Z., Wang D.: A linear fusion algorithm for attitude determination using low cost MEMS-based sensors - Measurement, 2007 - Elsevier.
  • 7. Luczak S., Oleksiuk W., Bodnicki M.: Sensing tilt with MEMS accelerometers- IEEE Sensors Journal, 2006.
  • 8. Wang M., Yang Y., Hatch R. R.: Adaptive filter for a miniature MEMS based attitude and heading reference system - Position Location, 2004.
  • 9. Blondel P.: The Handbook of Sidescan Sonar, Springer 2018.
  • 10. Demkowicz J.: Submerged objects modeling and storing in a global reference context using multiresolution spline technique. HYDROACOUSTICS ANNUAL JOURNAL pp. 47-52, vol. 18, 2015.
  • 11. Demkowicz J.: Multibeam Sonar Records Data Decimation Using Hierarchical Spline Interpolation. HYDROACOUSTICS 2013 , Vol. 16, pp. 41-46, 2013.
  • 12. Demkowicz J.: Submerged objects modeling and storing in a global reference context using multiresolution spline technique. HYDROACOUSTICS ANNUAL JOURNAL pp. 47-52, vol. 18, 2015.
  • 13. Bikonis K., Demkowicz J.: Data Integration from GPS and Inertial Navigation Systems for Pedestrians in Urban Area. TransNav – International Journal on Marine Navigation and Safety of Sea Transportation 2013, vol. 7, No. 3, pp. 401-406.
  • 14. L-3 Communications SeaBeam Instruments, Multibeam Sonar Theory of Operation. 2000.
  • 15. Demkowicz J.: Particle Filter Modification using Kalman Optimal Filtering Method as Applied to Road Detection from Satellite Images. MIKON 2014, 20th International Conference on Microwaves, Radar and Wireless Communications.
  • 16. Analog Devices Technical Articles. (source: www.analog.com).
  • 17. Seatex MRU Calibration Certificate, Kongsberg Gruppen POLISH MARITIME 64 RESEARCH, No 4/2018.
  • 18. Seube N., Levilly S., de Jong K.: Automatic Estimation of Boresight Angles Between IMU and Multi-Beam Echo Sounder Systems, Quantitative Monitoring of the Underwater Environment, Springer, 2016, pp. 13-23.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d19a4720-4806-4e33-88dc-609c33ecaa27
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