Performance improvement of localization for active sonars

Eun Jeong Jang; Dong Seog Han

doi:10.1109/APCC.2012.6388289

Performance improvement of localization for active sonars

Eun Jeong Jang, Dong Seog Han

School of Electronics Engineering

Kyungpook National University

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

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).

Original language	English
Pages	722-723
Number of pages	2
DOIs	https://doi.org/10.1109/APCC.2012.6388289
State	Published - 2012
Event	18th Asia-Pacific Conference on Communications: "Green and Smart Communications for IT Innovation", APCC 2012 - Jeju Island, Korea, Republic of Duration: 15 Oct 2012 → 17 Oct 2012

Conference

Conference	18th Asia-Pacific Conference on Communications: "Green and Smart Communications for IT Innovation", APCC 2012
Country/Territory	Korea, Republic of
City	Jeju Island
Period	15/10/12 → 17/10/12

Keywords

Active sonar
data classification
localizaiton
weighted least squares

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10.1109/APCC.2012.6388289

Cite this

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KW - localizaiton

KW - weighted least squares

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Performance improvement of localization for active sonars

Abstract

Conference

Keywords

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