Passive Radar Tracking in Clutter Using Range and Range-Rate Measurements
Passive bistatic radar research is essential for accurate 3D target tracking, especially in the presence of missing or low-quality bearing information. Traditional extended Kalman filter (EKF) methods often introduce bias in such scenarios. To overcome this limitation, we propose employing the unsce...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/12/5451 |