Kalman Filtering with Position-Dependent Noise Modeling for Active Sonar-Reference-Cited by-同舟云学术

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Kalman Filtering with Position-Dependent Noise Modeling for Active Sonar

Published:2023-06-05 Issue: Volume: Page:
ISSN:
Container-title:OCEANS 2023 - Limerick
language:
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Author:

Alcântara Caio C.M.P.¹,Oliveira B.S Fábio¹,Moura N.²,Miranda Maria D.³,Monnerat N.¹,Monteiro F.S.P.¹,Ávila S. V.¹,Jovenil S. M.¹

Affiliation:

1. Brazilian Navy Research Institute (IPqM),Underwater Acoustics Systems Group (GSAS)

2. Federal University of Rio de Janeiro (UFRJ) - COPPE,Signal Processing Laboratory (LPS)

3. University of Sao Paulo Polytechnic School (EPUSP),Signals and Communications Laboratory (LCS)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10244175/10244247/10244638.pdf?arnumber=10244638

Reference24 articles.

1. Neural Unscented Kalman Filter for Submarine Active Target Tracking

2. Synthesis of an optimal set of radar track-while-scan smoothing equations

3. The unscented Kalman filter for nonlinear estimation

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