TY - GEN
T1 - An extended dimension music method for doa estimation of multiple real-valued sources
AU - Liu, Li
AU - Xu, Jia
AU - Wang, Guan
AU - Xia, Xiang Gen
AU - Gao, Yang
AU - Long, Teng
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/10/4
Y1 - 2017/10/4
N2 - The direction of arrival (DOA) estimation is a key issue in array signal processing, and the MUSIC algorithm is a kind of well-known DOA method. In this paper, an extended dimension MUSIC (ED-MUSIC) method is proposed for improving DOA estimation performance. For emitted real valued signals, the received array data is split into real and imaginary parts that are combined into a sampling vector of a virtual array with twice elements. It is found that the proposed ED-MUSIC outperforms the classical MUSIC in the DOA estimation performance and it can estimate 2M-1 real-valued sources, where M is the number of array elements. That is, ED-MUSIC is equivalent to doubling the element number as well as degree-of-freedom of an array. Finally, some numerical results are provided to demonstrate the effectiveness of the proposed method.
AB - The direction of arrival (DOA) estimation is a key issue in array signal processing, and the MUSIC algorithm is a kind of well-known DOA method. In this paper, an extended dimension MUSIC (ED-MUSIC) method is proposed for improving DOA estimation performance. For emitted real valued signals, the received array data is split into real and imaginary parts that are combined into a sampling vector of a virtual array with twice elements. It is found that the proposed ED-MUSIC outperforms the classical MUSIC in the DOA estimation performance and it can estimate 2M-1 real-valued sources, where M is the number of array elements. That is, ED-MUSIC is equivalent to doubling the element number as well as degree-of-freedom of an array. Finally, some numerical results are provided to demonstrate the effectiveness of the proposed method.
KW - Degree-of-freedom (DOF)
KW - Direction of arrival (DOA)
KW - Multiple signal classification (MUSIC) algorithm
KW - Real-valued Source
UR - http://www.scopus.com/inward/record.url?scp=85034635170&partnerID=8YFLogxK
U2 - 10.1109/RADAR.2016.8059529
DO - 10.1109/RADAR.2016.8059529
M3 - Conference contribution
AN - SCOPUS:85034635170
T3 - 2016 CIE International Conference on Radar, RADAR 2016
BT - 2016 CIE International Conference on Radar, RADAR 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 CIE International Conference on Radar, RADAR 2016
Y2 - 10 October 2016 through 13 October 2016
ER -