TY - GEN
T1 - Efficient Off-grid DOA Estimation based on Modified MUSIC for Arbitrary Linear Arrays
AU - Ma, Yanan
AU - Cao, Xianbin
AU - Wang, Xiangrong
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - The off-grid direction-of-arrival (DOA) estimation performance degrades due to finite discretized sampling grid points. Meanwhile, most of the off-grid estimation algorithms restricted to uniform linear arrays (ULAs), such as root-MUSIC, ESPRIT and Fourier coefficients interpolation based methods, can not be employed to nonuniform linear arrays (NLAs). To solve these two problems, we propose an efficient off-grid DOA estimation technique based on modified multiple signal classification (MUSIC) for arbitrary linear arrays in this work. The on-grid DOA estimates are obtained using MUSIC in the first iteration. Subsequently, we apply the first-order Taylor expansion of the steering vector to MUSIC for calculating the closed-form formula of the angle offset. Finally, the angle biases of off-grid sources are corrected iteratively based on the angle offset formula. Simulation results demonstrate the effectiveness and efficiency of the proposed method for off-grid DOA estimation using arbitrary linear arrays.
AB - The off-grid direction-of-arrival (DOA) estimation performance degrades due to finite discretized sampling grid points. Meanwhile, most of the off-grid estimation algorithms restricted to uniform linear arrays (ULAs), such as root-MUSIC, ESPRIT and Fourier coefficients interpolation based methods, can not be employed to nonuniform linear arrays (NLAs). To solve these two problems, we propose an efficient off-grid DOA estimation technique based on modified multiple signal classification (MUSIC) for arbitrary linear arrays in this work. The on-grid DOA estimates are obtained using MUSIC in the first iteration. Subsequently, we apply the first-order Taylor expansion of the steering vector to MUSIC for calculating the closed-form formula of the angle offset. Finally, the angle biases of off-grid sources are corrected iteratively based on the angle offset formula. Simulation results demonstrate the effectiveness and efficiency of the proposed method for off-grid DOA estimation using arbitrary linear arrays.
KW - angle correction
KW - arbitrary linear arrays
KW - off-grid DOA estimation
UR - https://www.scopus.com/pages/publications/85091929167
U2 - 10.1109/ICSIDP47821.2019.9173323
DO - 10.1109/ICSIDP47821.2019.9173323
M3 - 会议稿件
AN - SCOPUS:85091929167
T3 - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
BT - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
Y2 - 11 December 2019 through 13 December 2019
ER -