Adaptive Kernel Kalman Filter for Magnetic Anomaly Detection-based Metallic Target Tracking-Reference-Cited by-同舟云学术

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Adaptive Kernel Kalman Filter for Magnetic Anomaly Detection-based Metallic Target Tracking

Published:2023-09 Issue: Volume: Page:
ISSN:
Container-title:2023 Sensor Signal Processing for Defence Conference (SSPD)
language:
Short-container-title:

Author:

Sun Mengwei¹,Hodgskin-Brown Richard²,Davies Mike E.¹,Proudler Ian K.³,Hopgood James R.¹

Affiliation:

1. University of Edinburgh,Institute of Digital Communications,Edinburgh,U.K.,EH9 3FG

2. University of Manchester,Electromagnetic Sensing Group,Department of Electronics & Electrical Engineering,Manchester,UK,M13 9PL

3. University of Strathclyde,Centre for Signal & Image Processing (CeSIP),Department of Electronic & Electrical Engineering,Glasgow,UK,G1 1XW

Funder

Engineering and Physical Sciences Research Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10256664/10256714/10256968.pdf?arnumber=10256968

Reference11 articles.

1. Adaptive Kernel Kalman Filter

2. Validation of a Fast and Accurate Magnetic Tracker Operating in the Environmental Field

3. Adaptive Kernel Kalman Filter Based Belief Propagation Algorithm for Maneuvering Multi-Target Tracking

4. Security monitoring system using magnetically-activated rfid tags;asci;2020 IEEE SENSORS IEEE,2020

5. Research on the Model and the Location Method of Ship Shaft-Rate Magnetic Field Based on Rotating Magnetic Dipole

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1. Implementation of Adaptive Kernel Kalman Filter in Stone Soup;2023 Sensor Signal Processing for Defence Conference (SSPD);2023-09

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