WASAR imaging with backprojection based group complex approximate message passing

WASAR imaging with backprojection based group complex approximate message passing

For access to this article, please select a purchase option:

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Group sparsity based wide angle synthetic aperture radar imaging model is developed and propose a novel algorithm called backprojection based group complex approximate message passing to recover the anisotropic scene. Compared with conventional backprojection based complex approximate message passing algorithm for the recovery of isotropic scene, the proposed method accommodates aspect dependent scattering behaviour better and can produce better imagery. Simulated and experimental results are presented to demonstrate the validity of the proposed algorithm.


    1. 1)
    2. 2)
    3. 3)
    4. 4)
      • 4. Stojanovic, I., Cetin, M., Karl, W.: ‘Joint space aspect reconstruction of wide-angle SAR exploiting sparsity’. SPIE Defense and Security Symp., Orlando, FL, USA, March 2008, pp. 697005697005-12.
    5. 5)
      • 5. Fang, J., Xu, Z., Zhang, B., Hong, W., Wu, Y.: ‘Fast compressed sensing SAR imaging based on approximated observation’, J. STARS, 2014, 7, pp. 352363.
    6. 6)
    7. 7)
      • 7. Jiang, C., Lin, Y., Zhang, Z., Zhang, B., Hong, W.: ‘WASAR imaging based on message passing with structured sparse constraint: Approach and experiment’. Third Int. Workshop Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa), Pisa, Italy, June 2015, pp. 219223.

Related content

This is a required field
Please enter a valid email address