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

fYear

2012

fDate

15-17 Oct. 2012

Firstpage

722

Lastpage

723

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/APCC.2012.6388289

Filename

6388289