TY - GEN
T1 - A modified KCCA for clutter separation in airborne MIMO SAR
AU - Hou, Yuguan
AU - Zhang, Fuqiang
AU - Fan, Yulong
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/1
Y1 - 2016/11/1
N2 - The signal or clutter separation in airborne MIMO SAR by the information of the direction-of-departure (DOD) or the direction-of-arrival (DOA) is able to be of benefit to the suppression of the 'unwanted' signals. As the signal separation performance after using the blocking matrix algorithm is greatly affected by the estimate deviation of the direction. Moreover, the direction of the 'unwanted' signal is unknown exactly in the practical application. To alleviate this situation, in this paper, a Modified Kernel Canonical Correlation Analysis (MKCCA) approach based on the blocking matrix approach is proposed. Firstly, the initial separation result is obtained by applying the blocking matrix approach. Then, we use KCCA as a further separation step. The azimuth searching result is adopted as the criteria of the separation performance. Simulation results demonstrate the excellent performance of the proposed approach, which could separate the signals or the clutter 'cleaner'.
AB - The signal or clutter separation in airborne MIMO SAR by the information of the direction-of-departure (DOD) or the direction-of-arrival (DOA) is able to be of benefit to the suppression of the 'unwanted' signals. As the signal separation performance after using the blocking matrix algorithm is greatly affected by the estimate deviation of the direction. Moreover, the direction of the 'unwanted' signal is unknown exactly in the practical application. To alleviate this situation, in this paper, a Modified Kernel Canonical Correlation Analysis (MKCCA) approach based on the blocking matrix approach is proposed. Firstly, the initial separation result is obtained by applying the blocking matrix approach. Then, we use KCCA as a further separation step. The azimuth searching result is adopted as the criteria of the separation performance. Simulation results demonstrate the excellent performance of the proposed approach, which could separate the signals or the clutter 'cleaner'.
KW - ICA
KW - MIMO SAR
KW - MKCCA
KW - blocking matrix approach
UR - https://www.scopus.com/pages/publications/85007441102
U2 - 10.1109/IGARSS.2016.7730703
DO - 10.1109/IGARSS.2016.7730703
M3 - 会议稿件
AN - SCOPUS:85007441102
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 6517
EP - 6520
BT - 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
Y2 - 10 July 2016 through 15 July 2016
ER -