منابع مشابه
Physics-based Depth Discrimination of Multi-static Active Sonar Target Echoes
An approach is presented for the discrimination of multi-static active sonar target echoes using the physics of the shallow water waveguide. Physics-based depth discrimination (PBDD) exploits the phenomenon of mode-trapping due to the sound speed gradient in a downward refracting shallow-water channel to separate surfaced and submerged sources of acoustic energy. In such an environment, low ord...
متن کاملMoving Target Depth Estimation for Passive Sonar, Using Sequential Resampling Techniques
We examine the problem of passive localization of a moving target in a littoral environment, based on its depth and range-rate. We compare performance with the conventional matched field processor, which localizes in depth and range. Range-rate localization is more robust with respect to uncertainties in the environment, and with respect to associated uncertainties in the horizontal wave number...
متن کاملClutter Removal in Sonar Image Target Tracking Using PHD Filter
In this paper we have presented a new procedure for sonar image target tracking using PHD filter besides K-means algorithm in high density clutter environment. We have presented K-means as data clustering technique in this paper to estimate the location of targets. Sonar images target tracking is a very good sample of high clutter environment. As can be seen, PHD filter because of its special f...
متن کاملLocalization of a target in clutter by multistatic active sonar
....................... .............................................................................................................. i Significance for defence and security ............................................................................................... i Résumé................. .......................................................................................................
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ژورنال
عنوان ژورنال: The Journal of the Acoustical Society of America
سال: 2016
ISSN: 0001-4966
DOI: 10.1121/1.4950080