Paper Info
Title
A Study Of Bp-Camp Algorithm For Sar Imaging
Abstract
Recently, the sparse reconstruction algorithms (SRAs) based on compressive sensing (CS) have been applied in the fields of synthetic aperture radar (SAR) imaging and show plenty of potential advantages. However, due to the great computational complexity and memory cost caused by matrix -vector multiplications, most of these algorithms are not suitable to reconstruct large-scale observed scenes. To solve this problem, we construct a backprojection based imaging operator, and introduce it to the complex approximate message passing algorithm (CAMP). The new image formation algorithm is called BP -CAMP in this paper. Compared with the approximated observation methods deduced from the FFT-based imaging technology, BP -CAMP is not limited by observation models of the radar and motion modes of the platform, and it therefore possesses universal applicability. By the simulations and real data processing, the experimental results show that BP -CAMP has lower computational complexity and memory cost than CAMP, and also achieves SAR imaging with under sampled echo data.
Year
Venue
Keywords
2015
2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
Backprojection, complex approximate message passing algorithm (CAMP), compressive sensing (CS), synthetic aperture radar (SAR)
Field
DocType
ISSN
Radar engineering details,Continuous-wave radar,Computer science,Synthetic aperture radar,Remote sensing,Artificial intelligence,Compressed sensing,Computer vision,Radar imaging,Algorithm,Inverse synthetic aperture radar,Fast Fourier transform,Computational complexity theory
Conference
2153-6996
Citations 
PageRank 
References 
0
0.34
3
Authors
5
Name
Order
Citations
PageRank
Xiangyin Quan141.60
Zhe Zhang200.34
bingchen zhang311017.19
Wen Hong435549.85
Yirong Wu539646.55