TY - GEN
T1 - Cramér-rao bound for wideband DOA estimation with uncorrelated sources
AU - Liang, Yibao
AU - Shen, Qing
AU - Cui, Wei
AU - Liu, Wei
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2020/1
Y1 - 2020/1
N2 - In this paper, the closed-form Cramér-Rao bound (CRB) is derived for direction-of-arrival (DOA) estimation under the unconditional model assumption (UMA) for uncorrelated wideband sources. The existence of the CRB is proved based on the rank condition of the introduced augmented co-array manifold (ACM) matrix. The resolution capacity is then investigated and it is found that the number of resolvable sources for the wideband model can exceed the limitation in the narrowband case without requirement of any special array structure.
AB - In this paper, the closed-form Cramér-Rao bound (CRB) is derived for direction-of-arrival (DOA) estimation under the unconditional model assumption (UMA) for uncorrelated wideband sources. The existence of the CRB is proved based on the rank condition of the introduced augmented co-array manifold (ACM) matrix. The resolution capacity is then investigated and it is found that the number of resolvable sources for the wideband model can exceed the limitation in the narrowband case without requirement of any special array structure.
UR - http://www.scopus.com/inward/record.url?scp=85079268061&partnerID=8YFLogxK
U2 - 10.1109/GlobalSIP45357.2019.8969279
DO - 10.1109/GlobalSIP45357.2019.8969279
M3 - Conference article published in proceeding or book
AN - SCOPUS:85079268061
T3 - GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings
BT - GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2019
Y2 - 11 November 2019 through 14 November 2019
ER -