JOURNAL ARTICLE

The Unscented Kalman Particle Phd Filter For Joint Multiple Target Tracking And Classification

Melzi, MounirMessaoudi, ZahirOuldali, A.

Year: 2011 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

Publication in the conference proceedings of EUSIPCO, Barcelona, Spain, 2011

Keywords:
Kalman filter Joint (building) Tracking (education) Particle filter Filter (signal processing) Radar tracker

Metrics

1
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.46
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Infrared Target Detection Methodologies
Physical Sciences →  Engineering →  Aerospace Engineering
Inertial Sensor and Navigation
Physical Sciences →  Engineering →  Aerospace Engineering

Related Documents

JOURNAL ARTICLE

A novel unscented particle filter for joint tracking and classification of maneuvering target

Xirui XueShucai HuangDaozhi Wei

Journal:   IET conference proceedings. Year: 2024 Vol: 2023 (47)Pages: 743-750
JOURNAL ARTICLE

Unscented extended Kalman filter for target tracking

Liu Chang-yunPeng‐Lang ShuiSong Li

Journal:   Journal of Systems Engineering and Electronics Year: 2011 Vol: 22 (2)Pages: 188-192
JOURNAL ARTICLE

Underwater Target Tracking using Unscented Kalman Filter

M. SanthoshS. Koteswara RaoRudra Pratap DasK. Lova Raju

Journal:   Indian Journal of Science and Technology Year: 2015 Vol: 8 (31)
© 2026 ScienceGate Book Chapters — All rights reserved.