Target separation detection and motion parameter estimation method based on time-varying autoregressive model

Target separation detection and motion parameter estimation method based on time-varying autoregressive model

The authors report a target separation detection and motion parameter estimation method based on the time-varying autoregressive (TVAR) model. The TVAR model is used to extract the instantaneous Doppler frequencies of multiple targets or scattering points in a same radar range cell, and the motion p...

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Bibliographic Details
Main Authors: Yaolin Zhang, Yuhao Yang, Qiang Cheng, Yanjun Hao
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:The Journal of Engineering
Subjects:
radar detection
target tracking
parameter estimation
radar resolution
radar target recognition
radar tracking
doppler radar
object detection
autoregressive processes
radar signal processing
radar imaging
filtering theory
target separation detection
motion parameter estimation method
time-varying autoregressive model
tvar model
multiple targets
radar range cell
motion parameters
pulse time
multiple instantaneous doppler frequencies
doppler frequency matrix
doppler tracking
acquiring validating multiple doppler frequency components
precision motion parameter estimation
great value radar target detection
automatic target recognition
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0665

Internet

https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0665

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