TY - GEN
T1 - A two-step 2-D DOA estimation algorithm via underwater acoustic vector-sensor array
AU - Han, Xueyan
AU - Liu, Meiqin
AU - Zhang, Senlin
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - Direction of arrival (DOA) estimation based on underwater acoustic vector-sensor array has extensive applications in the oceanic field. To realize an accurate DOA estimation with lower complexity, this paper proposes a novel method to carry out the two-dimentional (2-D) DOA estimation. Firstly, we introduce the regularized multiple focal underdetermined system solver algorithm (M-FOCUSS) to solve the jointly sparse vectors reconstruction problem to determine the grid points of true DOAs accurately. Then, we utilize Taylor series expansion to precisely approximate the steering vectors of true DOAs and achieve an accurate estimation of the off-grid errors by solving an optimization problem. Simulation results show that our algorithm is of less computational complexity but leads to a high DOA estimation accuracy.
AB - Direction of arrival (DOA) estimation based on underwater acoustic vector-sensor array has extensive applications in the oceanic field. To realize an accurate DOA estimation with lower complexity, this paper proposes a novel method to carry out the two-dimentional (2-D) DOA estimation. Firstly, we introduce the regularized multiple focal underdetermined system solver algorithm (M-FOCUSS) to solve the jointly sparse vectors reconstruction problem to determine the grid points of true DOAs accurately. Then, we utilize Taylor series expansion to precisely approximate the steering vectors of true DOAs and achieve an accurate estimation of the off-grid errors by solving an optimization problem. Simulation results show that our algorithm is of less computational complexity but leads to a high DOA estimation accuracy.
KW - Direction of arrival (DOA)
KW - Jointly sparse vectors reconstruction
KW - Off-grid errors
KW - Regularized multiple focal underdetermined system solver algorithm
KW - Taylor series expansion
UR - https://www.scopus.com/pages/publications/85078956824
U2 - 10.1109/ICSPCC46631.2019.8960898
DO - 10.1109/ICSPCC46631.2019.8960898
M3 - 会议稿件
AN - SCOPUS:85078956824
T3 - 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019
BT - 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019
Y2 - 20 September 2019 through 22 September 2019
ER -