2-D Joint Sparse Reconstruction and Micro-Motion Parameter Estimation for Ballistic Target Based on Compressive Sensing

2-D Joint Sparse Reconstruction and Micro-Motion Parameter Estimation for Ballistic Target Based on Compressive Sensing

The sparse frequency band (SFB) signal presents a serious challenge to traditional wideband micro-motion curve extraction algorithms. This paper proposes a novel two-dimension (2-D) joint sparse reconstruction and micro-motion parameter estimation (2D-JSR-MPE) algorithm based on compressive sensing...

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Bibliographic Details
Main Authors: Jiaqi Wei, Shuai Shao, Lei Zhang, Hongwei Liu
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
ballistic target
micro-motion
sparse frequency band (SFB) signal
two-dimension (2-D) joint sparse reconstruction
two-dimension (2-D) joint parameter estimation
Online Access:https://www.mdpi.com/1424-8220/20/16/4382

Internet

https://www.mdpi.com/1424-8220/20/16/4382

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