TY - GEN
T1 - Source localization based on sparse spectral fitting and spatial filtering
AU - Yang, Long
AU - Yang, Yixin
AU - Zhu, Jiannan
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/28
Y1 - 2016/11/28
N2 - A source localization based on sparse spectral fitting and spatial matrix filtering is proposed in this paper to localize the multiple targets which are closely spaced in the strong interference environment. Comparing with the traditional methods, the properties of interference suppression and high resolution of localization are verified by simulation and experimental results.
AB - A source localization based on sparse spectral fitting and spatial matrix filtering is proposed in this paper to localize the multiple targets which are closely spaced in the strong interference environment. Comparing with the traditional methods, the properties of interference suppression and high resolution of localization are verified by simulation and experimental results.
KW - High resolution direction of arrival estimation
KW - Interference suppression
KW - Sparse spectral fitting
KW - Spatial matrix filter
UR - http://www.scopus.com/inward/record.url?scp=85006899039&partnerID=8YFLogxK
U2 - 10.1109/OCEANS.2016.7761271
DO - 10.1109/OCEANS.2016.7761271
M3 - 会议稿件
AN - SCOPUS:85006899039
T3 - OCEANS 2016 MTS/IEEE Monterey, OCE 2016
BT - OCEANS 2016 MTS/IEEE Monterey, OCE 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 OCEANS MTS/IEEE Monterey, OCE 2016
Y2 - 19 September 2016 through 23 September 2016
ER -