NDLI: Improved estimation of the shape of towed sonar arrays

Content Provider	IEEE Xplore Digital Library
Author	Newhall, B.K. Jenkins, J.W. Dietz, J.E.G.
Copyright Year	2004
Description	Author affiliation: Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA (Newhall, B.K.; Jenkins, J.W.; Dietz, J.E.G.)
Abstract	Low frequency passive sonar systems often use towed line arrays. In order to properly beamform the elements in the array, an accurate estimate of the array shape is required. We consider a submarine towed instrumented with 12 heading sensors used to estimate its shape. Submarines may make drastic maneuvers, producing significant bends in the array. These maneuvers also produce vibrations which introduce severe noise into the heading sensors. A Kalman filter has been developed to produce an accurate estimate of the array shape in the presence of severe heading noise. The Kalman filter uses an adaptively weighted average of the heading sensor data with an improved dynamic model to produce the estimate of shape. During periods of nominally straight tow, the filter relies strongly on the heading sensor data. The filter adaptively estimates the variance of the heading sensors, so that it automatically recognizes vibration-inducing maneuvers, and relies more heavily on the dynamic model during those times. Performance of the filter is controlled by adjusting the ratio of the sensor to process noise. Since the filter works on all sensors simultaneously to produce a single shape estimate, it is capable of recognizing a few bad sensors that are inconsistent with the majority. The Kalman filter algorithm has been successfully applied to eliminate contaminations from noisy sensors.
Sponsorship	IEEE Instrumentation and Measurement Soc
Starting Page	873
Ending Page	876
File Size	275709
Page Count	4
File Format	PDF
ISBN	078038248X
ISSN	10915281
DOI	10.1109/IMTC.2004.1351201
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-05-18
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Sonar Noise shaping Underwater vehicles Frequency Instruments Adaptive filters Automatic control Signal to noise ratio Contamination
Content Type	Text
Resource Type	Article
Subject	Instrumentation Electrical and Electronic Engineering

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