TY - GEN
T1 - UAV tracking moving target scene using on-board ISAR sensor
AU - Zhang, Liren
AU - Karam, Ahmed
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/16
Y1 - 2014/12/16
N2 - Compressive sensing (CS) based Inverse Synthetic Aperture Radar (ISAR) imaging exploits the sparsity of the target scene to achieve high resolution and effective denoising with limited measurements. This paper extends the CS based ISAR imaging to further include the continuity structure of the target scene within a Bayesian framework. A correlated prior is imposed to statistically encourage the continuity structures in both the cross-range and range domains of the target region and the Gibbs sampling strategy is used for Bayesian inference. Because the resulted method requires to recover the whole target scene at a time with heavy computational complexity, an approximate strategy is proposed to alleviate the computational burden. Experimental results demonstrate that the proposed algorithm can achieve substantial improvements in terms of preserving the weak scatterers and removing noise over other reported CS based ISAR imaging algorithms.
AB - Compressive sensing (CS) based Inverse Synthetic Aperture Radar (ISAR) imaging exploits the sparsity of the target scene to achieve high resolution and effective denoising with limited measurements. This paper extends the CS based ISAR imaging to further include the continuity structure of the target scene within a Bayesian framework. A correlated prior is imposed to statistically encourage the continuity structures in both the cross-range and range domains of the target region and the Gibbs sampling strategy is used for Bayesian inference. Because the resulted method requires to recover the whole target scene at a time with heavy computational complexity, an approximate strategy is proposed to alleviate the computational burden. Experimental results demonstrate that the proposed algorithm can achieve substantial improvements in terms of preserving the weak scatterers and removing noise over other reported CS based ISAR imaging algorithms.
KW - ISAR imaging
KW - continuity structures
KW - model-based compressive sensing
UR - http://www.scopus.com/inward/record.url?scp=84946235497&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946235497&partnerID=8YFLogxK
U2 - 10.1109/INNOVATIONS.2014.6987568
DO - 10.1109/INNOVATIONS.2014.6987568
M3 - Conference contribution
AN - SCOPUS:84946235497
T3 - 2014 10th International Conference on Innovations in Information Technology, IIT 2014
SP - 88
EP - 92
BT - 2014 10th International Conference on Innovations in Information Technology, IIT 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 10th International Conference on Innovations in Information Technology, IIT 2014
Y2 - 9 November 2014 through 11 November 2014
ER -