JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Towed Array Shape Estimation based on Kalman Filter Compensating the Sensor Bias
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Towed Array Shape Estimation based on Kalman Filter Compensating the Sensor Bias
Kim, Geun Hwan; Choi, Su Jin; Ryu, Chang Soo; Ryu, Young Woo; Lee, Kyun Kyung;
  PDF(new window)
 Abstract
TASS(Towed Array Sonar System) is a sonar system which tows the sensor array behind a platform. Array shape is generally assumed to be a straight line. But the array shape is often distorted by oceanic current or platform maneuvering which causes the performance loss of signal processing method like beamforming. So array shape estimation methods are needed. Typically the method based on Kalman filter using heading sensor is used. In practice, the measurement is corrupted by biases which are caused by rotation of the tow cable, varying magnetic fields and slowly varying stresses in the mechanical construction. Although they can`t be calibrated but can be estimated. In this paper, we suggest the array shape estimation method based on Kalman filter compensating the sensor biases.
 Keywords
Towed Array Shape Estimation;Kalman Filter;Bias;
 Language
Korean
 Cited by
 References
1.
Douglas A. Gray, "Towed Array Shape Estimation Using Kalman Filter - Theoretical Models," IEEE Journal of Oceanic Engineering Vol. 18, No. 4, pp. 543-556, 1993. 10. crossref(new window)

2.
John L. Riley, "Towed Array Shape Estimation Using Kalman Filter - Experimental Investigation," IEEE Journal of Oceanic Engineering Vol. 18, No. 4, pp. 572-581, 1993. 10. crossref(new window)

3.
D. A. Gray, Acoustic Signal Processing for Ocean Exploration, Springer Netherlands, pp. 231-236, 1993.

4.
M. P. Paidoussis, "Dynamics of Flexible Slender Cylinders in Axial Flow Part 1. Theory," Journal of Fluid Mechanics Vol. 26, No. 4, pp. 717-736, 1966. crossref(new window)

5.
M. P. Paidoussis, "Dynamics of Flexible Slender Cylinders in Axial Flow Part 2: Experiments," Journal of Fluid Mechanics Vol. 26, No. 4, pp. 737-751, 1966. crossref(new window)

6.
Greg Welch and Gary Bishop, "An Introduction to the Kalman Filter," University of North Carolina: Chapel Hill, North Carolina, 2006.