Sparse Bayesian Learning-Based Target Imaging and Parameter Estimation for Monostatic MIMO Radar Systems

Sparse Bayesian Learning-Based Target Imaging and Parameter Estimation for Monostatic MIMO Radar Systems

This paper presents novel sparse Bayesian learning (SBL)-based target imaging and parameter estimation techniques in monostatic multiple-input multiple-output (MIMO) radar systems for practical scenarios with insufficient observation samples and unknown target parameters. First, the SBL framework is...

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Bibliographic Details
Main Authors: Amrita Mishra, Vini Gupta, Saumya Dwivedi, Aditya K. Jagannatham, Pramod K. Varshney
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Monostatic MIMO radar
sparse Bayesian learning
target imaging
parameter estimation
Cramér-Rao bound
Online Access:https://ieeexplore.ieee.org/document/8529199/

Internet

https://ieeexplore.ieee.org/document/8529199/

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