TY - JOUR
T1 - Taylor expansion MUSIC method for joint DOD and DOA estimation in a bistatic MIMO array
AU - Shi, Wen tao
AU - Zhang, Qun fei
AU - He, Cheng bing
AU - Han, Jing
N1 - Publisher Copyright:
© 2019, Zhejiang University and Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2019/6/1
Y1 - 2019/6/1
N2 - We propose a Taylor expansion multiple signal classification (TE MUSIC) method for joint direction of departure (DOD) and direction of arrival (DOA) estimation in a bistatic multiple-input multiple-output (MIMO) array. First, using a Taylor expansion of the steering vector, a two-dimensional (2D) search in the conventional MUSIC method for MIMO arrays is reduced to a two-step one-dimensional (ID) search in the proposed TE MUSIC method. Second, DOAs of the targets can be achieved via Lagrange multiplier by a ID search. Finally, substituting the DOA estimates into the 2D MUSIC spectrum function, DODs of the targets are obtained by another ID search. Thus, the DOD and DOA estimates can be automatically paired. The performance of the proposed method is better than that of the MIMO ESPRIT method, and is similar to that of the 2D MUSIC method. Furthermore, due to the ID search, the TE MUSIC method avoids the high computational complexity of the 2D MUSIC method. Simulation results are presented to show the effectiveness of the proposed method.
AB - We propose a Taylor expansion multiple signal classification (TE MUSIC) method for joint direction of departure (DOD) and direction of arrival (DOA) estimation in a bistatic multiple-input multiple-output (MIMO) array. First, using a Taylor expansion of the steering vector, a two-dimensional (2D) search in the conventional MUSIC method for MIMO arrays is reduced to a two-step one-dimensional (ID) search in the proposed TE MUSIC method. Second, DOAs of the targets can be achieved via Lagrange multiplier by a ID search. Finally, substituting the DOA estimates into the 2D MUSIC spectrum function, DODs of the targets are obtained by another ID search. Thus, the DOD and DOA estimates can be automatically paired. The performance of the proposed method is better than that of the MIMO ESPRIT method, and is similar to that of the 2D MUSIC method. Furthermore, due to the ID search, the TE MUSIC method avoids the high computational complexity of the 2D MUSIC method. Simulation results are presented to show the effectiveness of the proposed method.
KW - Bistatic multiple-input multiple-output array
KW - Computational complexity
KW - Direction of arrival
KW - Direction of departure
KW - Multiple signal classification
KW - Taylor expansion
KW - TP391.4
UR - http://www.scopus.com/inward/record.url?scp=85068790286&partnerID=8YFLogxK
U2 - 10.1631/FITEE.1700657
DO - 10.1631/FITEE.1700657
M3 - 文章
AN - SCOPUS:85068790286
SN - 2095-9184
VL - 20
SP - 842
EP - 848
JO - Frontiers of Information Technology and Electronic Engineering
JF - Frontiers of Information Technology and Electronic Engineering
IS - 6
ER -