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Techniques adopted in the post processing of active sonar data from Royapuram site-off Chennai

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Title Techniques adopted in the post processing of active sonar data from Royapuram site-off Chennai
 
Creator Eldhose, Mahimol
Rajapan, Dhilsha
Zacharia, Shijo
Sreedev, D.S.
Atmanand, M. A.
 
Subject Moving average
Exponential averaging
Median filter
Sonar
 
Description 164-171
A buried object
detection SONAR has been developed by the marine sensors and systems group of
National Institute of Ocean Technology and the analysis of the data from a
specific site is reported in the paper. 
Handling the unpredictable noise is a major concern in sonar signal
processing, especially in buried object detection sonar systems. To improve the
signal to noise ratio and also to preserve the boundaries of targets, special
post processing techniques are to be applied. Signal averaging is found to be a
useful technique in this regard and this paper compares and analyzes various
averaging techniques including moving averaging, exponential averaging, and
median filter. The exponential averaging with median filter is found to be one
of the best suitable methods for noise reduction in detecting buried objects in
shallow waters, since it significantly improves the signal to noise ratio by
preserving the boundaries of targets. It is
observed that the original sonar image with 6% noise level is improved
to 0.03 to 0.04 noise variance using the combination
of exponential moving average and median filter and the same trend is
observed up to 35% noise level when corrupted by
Gaussian noise. Performance evaluation of the techniques has been
carried out and is quantitatively verified with the data collected during the
sea trials.
 
Date 2016-07-04T08:12:42Z
2016-07-04T08:12:42Z
2015-02
 
Type Article
 
Identifier 0975-1033 (Online); 0379-5136 (Print)
http://hdl.handle.net/123456789/34626
 
Language en_US
 
Rights CC Attribution-Noncommercial-No Derivative Works 2.5 India
 
Publisher NISCAIR-CSIR, India
 
Source IJMS Vol.44(02) [February 2015]