Data association for deghosting in Y-shaped passive linear array sonars

Bonhwa Ku, Jehan Yoon, David K. Han, Hanseok Ko

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


This paper deals with data association using three sets of passive linear array sonars (PLAS) geometrically positioned in a Y-shaped configuration, fixed in an underwater environment. The data association problem is directly transformed into a 3-D assignment problem, which is known to be NP hard. For generic passive sensors, it can be solved using conventional algorithms, while in PLAS, it becomes a formidable task due to the presence of bearing ambiquity. Thus, the central issue of the problem in PLAS is how to eliminate the bearing ambiguity without increasing tracking error. To solve this problem, the 3-D assignment algorithm used the likelihood value of only those observed bearing measurements is modified by incorporating frequency information in consecutive time-aligned scans. The region of possible ghost targets is first established by the geometrical relation of PLAS with respect to target. The ghost targets are then confirmed and eliminated by generating multiple observations in consecutive scans. Representative simulations demonstrate the effectiveness of the proposed approach.

Original languageEnglish
Pages (from-to)103-113
Number of pages11
JournalIEEE Transactions on Aerospace and Electronic Systems
Issue number1
Publication statusPublished - 2004 Jan

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering


Dive into the research topics of 'Data association for deghosting in Y-shaped passive linear array sonars'. Together they form a unique fingerprint.

Cite this