TY - GEN
T1 - Block majorization-minimization algorithms for low-rank clutter subspace estimation
AU - Breloy, A.
AU - Sun, Y.
AU - Babu, P.
AU - Palomar, D. P.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/28
Y1 - 2016/11/28
N2 - This paper addresses the problem of the clutter subspace projector estimation in the context of a disturbance composed of a low rank heterogeneous (Compound Gaussian) clutter and white Gaussian noise. We derive two algorithms based on the block majorization-minimization framework to reach the maximum likelihood estimator of the considered model. These algorithms are shown to be computationally faster than the state of the art, with guaranteed convergence. Finally, the performance of the related estimators is illustrated in terms of estimation accuracy and computation speed.
AB - This paper addresses the problem of the clutter subspace projector estimation in the context of a disturbance composed of a low rank heterogeneous (Compound Gaussian) clutter and white Gaussian noise. We derive two algorithms based on the block majorization-minimization framework to reach the maximum likelihood estimator of the considered model. These algorithms are shown to be computationally faster than the state of the art, with guaranteed convergence. Finally, the performance of the related estimators is illustrated in terms of estimation accuracy and computation speed.
UR - http://www.scopus.com/inward/record.url?scp=85006004219&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85006004219&partnerID=8YFLogxK
U2 - 10.1109/EUSIPCO.2016.7760636
DO - 10.1109/EUSIPCO.2016.7760636
M3 - Conference contribution
AN - SCOPUS:85006004219
T3 - European Signal Processing Conference
SP - 2186
EP - 2190
BT - 2016 24th European Signal Processing Conference, EUSIPCO 2016
PB - European Signal Processing Conference, EUSIPCO
T2 - 24th European Signal Processing Conference, EUSIPCO 2016
Y2 - 28 August 2016 through 2 September 2016
ER -