DocumentCode
1611395
Title
Underwater Localization Iterative Algorithm based on Geomagnetic Anomaly Inversion
Author
Yu, Huang ; Li-Hua, Wu
Author_Institution
Coll. of Sci., Harbin Eng. Univ., Harbin, China
fYear
2012
Firstpage
687
Lastpage
690
Abstract
The position of underwater vehicle relative to target is determined by magnetic field magnitude and gradients of target on condition that geomagnetic anomaly can be inversed as a magnetic dipole target. The magnetic field is measured by the device installed on vehicle and composed of ten single-axis magnetometers. Because the noise of magnetometers results in the coefficients of a six-order equation with one variable inaccurate, it will put obscure influence on the localization precision. The statistical properties of these coefficients are analyzed theoretically, and their means and variances are deduced considering Gaussian noises of magnetometers. However, it is difficult to determinate the detailed expression of statistic distribution. A localization iterative algorithm is put forward and described, and its astringency is discussed theoretically and simulated numerically. These results show favorable astringency for the iterative algorithm, which can improve remarkably the localization precision.
Keywords
Gaussian noise; geomagnetism; iterative methods; magnetometers; statistical distributions; underwater acoustic communication; Gaussian noises; geomagnetic anomaly inversion; localization precision; magnetic dipole target; magnetic field magnitude; single-axis magnetometer noise; six-order equation; statistic distribution; statistical property analysis; underwater localization iterative algorithm; underwater vehicle position; astringency; geomagnetic anomaly; iterative; magnetic dipole; underwater localization;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4673-1450-3
Type
conf
DOI
10.1109/ICICEE.2012.186
Filename
6322475
Link To Document