CS–MMPF-based weak target detection and tracking with range ambiguity

CS–MMPF-based weak target detection and tracking with range ambiguity

To address the problem of target detection and tracking with the range ambiguous radar in low signal-to-noise ratio environment, a novel weak target detection and tracking algorithm based on the compressed sensing (CS) and multiple model particle filter (MMPF) is proposed. The general solution is th...

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Bibliographic Details
Main Authors: Shuncheng Tan, Guohong Wang, Dianxing Sun, Hongbo Yu
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:The Journal of Engineering
Subjects:
particle filtering (numerical methods)
noise
radar detection
doppler radar
target tracking
radar tracking
object detection
range ambiguous radar
low signal-to-noise ratio environment
novel weak target detection
tracking algorithm
multiple model particle filter
over-complete atom dictionary
echo model
target echo signal
cs method
threshold detection
atom energy distribution
judge
ambiguous measurement-based mmpf manoeuvring target tracking method
range measurement ambiguity
range ambiguity resolving
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0668

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0668

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