Title :
Performance improvement of localization for active sonars
Author :
Jang, Eun Jeong ; Han, Dong Seog
Author_Institution :
Grad. Sch. of Electr. Eng. & Comput. Sci., Kyungpook Nat. Univ., Daegu, South Korea
Abstract :
In sonar systems, the reverberation is a primary cause of false alarm. The multiple return association and localization (MRAL) algorithm is a data-fusion algorithm that can efficiently reduce the false alarm rate. The localization results of MRAL are lattice points that are the nearest points to targets in a searching area. Therefore, the results of MRAL differ from the real target locations. In this paper, an MRAL post processing algorithm is proposed to increase the accuracy of MRAL based on weighted lease squares (WLS).
Keywords :
least squares approximations; reverberation; sensor fusion; sonar; MRAL algorithm; WLS; active sonars; false alarm; lattice points; localisation performance improvement; multiple return association and localization; reverberation; searching area; sonar systems; weighted lease squares; Accuracy; Algorithm design and analysis; Classification algorithms; Educational institutions; Receivers; Sonar detection; Active sonar; data classification; localizaiton; weighted least squares;
Conference_Titel :
Communications (APCC), 2012 18th Asia-Pacific Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4673-4726-6
Electronic_ISBN :
978-1-4673-4727-3
DOI :
10.1109/APCC.2012.6388289
