Radar correlated imaging for extended target by the clustered sparse Bayesian learning with Laplace prior

Tingting Qian; Guanghua Lu; Guochao Wang

doi:10.1117/12.2502961

9 August 2018 Radar correlated imaging for extended target by the clustered sparse Bayesian learning with Laplace prior

Tingting Qian, Guanghua Lu, Guochao Wang

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108063L (2018) https://doi.org/10.1117/12.2502961
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

Abstract

Radar correlated imaging (RCI) is a novel modality to obtain high resolution target images by correlated process of stochastic radiation field and the received signals. Conventional RCI methods neglect the inherent structure information of complex extended target, which makes the quality of recovery result degraded. Thus a clustered sparse Bayesian learning with Laplace prior (La-CSBL) algorithm for extended target imaging is proposed in this paper. A hierarchical correlated Laplace prior model is introduced to consider both the sparse prior and the cluster prior, and the prior for each coefficient not only involves its own hyperparameter, but also its immediate neighbor hyperparameters. Then the algorithm alternates between steps of target reconstruction and parameter optimization by cyclic minimization method under the Bayesian maximum a posteriori framework. Experimental results show that the proposed algorithm could realize high resolution imaging efficiently for extended target.

Citation Download Citation

Tingting Qian, Guanghua Lu, and Guochao Wang "Radar correlated imaging for extended target by the clustered sparse Bayesian learning with Laplace prior", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108063L (9 August 2018); https://doi.org/10.1117/12.2502961

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available