Title :
Active clutter reduction through fusion with passive data
Author :
Aughenbaugh, J.M. ; Yocom, B.A. ; La Cour, Brian R
Author_Institution :
Appl. Res. Labs., Univ. of Texas at Austin, Austin, TX, USA
Abstract :
Active and passive sonar systems often provide complementary information. Active systems generally provide good localization but are subject to high rates of clutter from bottom and volumetric scatterers. Passive systems generally have good resolution only in bearing and only can detect objects that emit acoustic energy. By fusing measurements from both types of systems, the passive data can be used to reduce the clutter in the active data. The result is improved target tracking, as shown in two examples, including the injection of a single target into a recorded active clutter dataset.
Keywords :
Bayes methods; radar clutter; sensor fusion; sonar tracking; target tracking; Bayesian tracking; acoustic energy; active clutter reduction; active sonar systems; passive data; passive sonar systems; target tracking; Bayesian methods; Clutter; Receivers; Signal to noise ratio; Sonar; Target tracking; Bayesian tracking; active sonar; clutter reduction; data fusion; passive sonar;
Conference_Titel :
Information Fusion (FUSION), 2010 13th Conference on
Conference_Location :
Edinburgh
Print_ISBN :
978-0-9824438-1-1
DOI :
10.1109/ICIF.2010.5711979