TY - GEN
T1 - A Derivative-Based MUSIC Algorithm for Two-Dimensional Angle Estimation Employing an L-Shaped Array
AU - Cai, Jingjing
AU - Zhang, Huanyin
AU - Liu, Wei
AU - Tan, Fuwei
AU - Dong, Yangyang
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2021/4
Y1 - 2021/4
N2 - In this paper, a derivative-based MUSIC (DB-MUSIC) algorithm for two-dimensional (2-D) direction-of-Arrival (DOA) estimation is proposed using an L-shaped uniform array. It transforms the traditional 2-D search problem into a one-dimensional (1-D) one using a derivative based optimization method, taking into consideration the structure of the steering vector and the associated cost function. As a result, the proposed algorithm has a significantly low computational complexity with the additional benefit of no need for 2-D angle pairing. Simulation results show that the proposed algorithm has better estimation accuracy than some existing representative 2-D DOA estimation algorithms falling into the same category, i.e., low complexity through 1-D search with no need for pairing.
AB - In this paper, a derivative-based MUSIC (DB-MUSIC) algorithm for two-dimensional (2-D) direction-of-Arrival (DOA) estimation is proposed using an L-shaped uniform array. It transforms the traditional 2-D search problem into a one-dimensional (1-D) one using a derivative based optimization method, taking into consideration the structure of the steering vector and the associated cost function. As a result, the proposed algorithm has a significantly low computational complexity with the additional benefit of no need for 2-D angle pairing. Simulation results show that the proposed algorithm has better estimation accuracy than some existing representative 2-D DOA estimation algorithms falling into the same category, i.e., low complexity through 1-D search with no need for pairing.
KW - derivative-based MUSIC
KW - L-shaped array
KW - optimization algorithm
KW - two-dimensional DOA estimation
UR - https://www.scopus.com/pages/publications/85105324210
U2 - 10.1109/ISSPIT51521.2020.9408790
DO - 10.1109/ISSPIT51521.2020.9408790
M3 - Conference article published in proceeding or book
AN - SCOPUS:85105324210
T3 - 2020 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2020
BT - 2020 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2020
Y2 - 9 December 2020 through 11 December 2020
ER -