TY - GEN
T1 - Mixing matrix estimation in blind source separation based on CFSFDP
AU - Wang, Wang
AU - Su, Donglin
AU - Zhao, Zihua
N1 - Publisher Copyright:
© 2019 Applied Computational Electromagnetics Society.
PY - 2019/8
Y1 - 2019/8
N2 - Mixing matrix estimation is one of the key techniques in underdetermined blind source separation. To obtain an accurate estimation of mixing matrix, an effective estimation algorithm based on clustering by fast search and find of density peaks (CFSFDP) is proposed in this paper. First, the received signals are transformed into a Time-Frequency (TF) domain where each component have liner clustering characteristics. Then, the remaining angles are clustered by CFSFDP to classify the points belonging to the same channel. Finally, the estimation of the mixing matrix can be calculated by the results of clustering, and the number of sources can also be found. The results show that the proposed algorithm can effectively estimate the mixing matrix with high accuracy.
AB - Mixing matrix estimation is one of the key techniques in underdetermined blind source separation. To obtain an accurate estimation of mixing matrix, an effective estimation algorithm based on clustering by fast search and find of density peaks (CFSFDP) is proposed in this paper. First, the received signals are transformed into a Time-Frequency (TF) domain where each component have liner clustering characteristics. Then, the remaining angles are clustered by CFSFDP to classify the points belonging to the same channel. Finally, the estimation of the mixing matrix can be calculated by the results of clustering, and the number of sources can also be found. The results show that the proposed algorithm can effectively estimate the mixing matrix with high accuracy.
KW - Cluster
KW - Mixing matrix estimation
KW - Undetermined blind source separation
UR - https://www.scopus.com/pages/publications/85084010561
U2 - 10.23919/ACES48530.2019.9060717
DO - 10.23919/ACES48530.2019.9060717
M3 - 会议稿件
AN - SCOPUS:85084010561
T3 - 2019 International Applied Computational Electromagnetics Society Symposium-China, ACES 2019
BT - 2019 International Applied Computational Electromagnetics Society Symposium-China, ACES 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Applied Computational Electromagnetics Society Symposium-China, ACES 2019
Y2 - 8 August 2019 through 11 August 2019
ER -