TY - GEN
T1 - EXTENDED CYCLIC COORDINATE DESCENT FOR ROBUST ROW-SPARSE SIGNAL RECONSTRUCTION IN THE PRESENCE OF OUTLIERS
AU - Huang, Huiping
AU - So, Hing Cheung
AU - Zoubir, Abdelhak M.
PY - 2020/5
Y1 - 2020/5
N2 - The problem of row-sparse signal reconstruction for complex-valued data with outliers is investigated in this paper. First, we formulate the problem by taking advantage of a sparse weight matrix, which is used to down-weight the outliers. The formulated problem belongs to LASSO-type problems, and such problems can be efficiently solved via cyclic coordinate descent (CCD). We propose an extended CCD algorithm to solve the problem for complex-valued measurements, which requires careful characterization and derivation. Numerical simulation results show that the proposed algorithm is robust against outliers and has a higher empirical probability of exact recovery compared with other tested methods.
AB - The problem of row-sparse signal reconstruction for complex-valued data with outliers is investigated in this paper. First, we formulate the problem by taking advantage of a sparse weight matrix, which is used to down-weight the outliers. The formulated problem belongs to LASSO-type problems, and such problems can be efficiently solved via cyclic coordinate descent (CCD). We propose an extended CCD algorithm to solve the problem for complex-valued measurements, which requires careful characterization and derivation. Numerical simulation results show that the proposed algorithm is robust against outliers and has a higher empirical probability of exact recovery compared with other tested methods.
KW - CCD algorithm
KW - Direction-of-arrival (DOA) estimation
KW - Joint-sparse recovery
KW - Outliers
KW - Row-sparse reconstruction
KW - CCD algorithm
KW - Direction-of-arrival (DOA) estimation
KW - Joint-sparse recovery
KW - Outliers
KW - Row-sparse reconstruction
KW - CCD algorithm
KW - Direction-of-arrival (DOA) estimation
KW - Joint-sparse recovery
KW - Outliers
KW - Row-sparse reconstruction
UR - http://www.scopus.com/inward/record.url?scp=85091135444&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85091135444&origin=recordpage
U2 - 10.1109/ICASSP40776.2020.9054540
DO - 10.1109/ICASSP40776.2020.9054540
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781509066322
VL - 2020-May
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 4791
EP - 4795
BT - 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing
PB - IEEE
T2 - 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020
Y2 - 4 May 2020 through 8 May 2020
ER -