Improved Multitarget Tracking in the Presence of Port–Starboard Measurement Ambiguity Using the Bayes Factor-Reference-Cited by-同舟云学术

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Improved Multitarget Tracking in the Presence of Port–Starboard Measurement Ambiguity Using the Bayes Factor

Published:2023-01 Issue:1 Volume:48 Page:199-217
ISSN:0364-9059
Container-title:IEEE Journal of Oceanic Engineering
language:
Short-container-title:IEEE J. Oceanic Eng.

Author:

Jimenez Jorge G.¹^ORCID,Stilwell Daniel J.²^ORCID,Wolek Artur³^ORCID,McMahon James⁴^ORCID,Dzikowicz Benjamin R.⁴^ORCID

Affiliation:

1. Panama City Division, Naval Surface Warfare Center, Panama City, FL, USA

2. Bradley Department of Computer and Electrical Engineering, Virginia Tech, Blacksburg, VA, USA

3. Department of Mechanical Engineering and Engineering Science, University of North Carolina at Charlotte, Charlotte, NC, USA

4. Naval Research Laboratory, Code 7130, Physical Acoustics Branch, Washington, DC, USA

Funder

Office of Naval Research

Naval Research Laboratory Base Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Ocean Engineering

Link

http://xplorestaging.ieee.org/ielx7/48/10015533/09904815.pdf?arnumber=9904815

Reference40 articles.

1. Bayesian Filtering With Random Finite Set Observations

2. Improved SMC implementation of the PHD filter

3. Distributed Information Fusion in Multistatic Sensor Networks for Underwater Surveillance

4. Sequential monte carlo methods for multi-target filtering with random finite sets

5. Experimental results in bearings-only tracking using the sequential Monte-Carlo probability hypothesis density filter

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