TY - JOUR
T1 - Off-grid direction-of-arrival estimation using second-order Taylor approximation
AU - Huang, Huiping
AU - So, Hing Cheung
AU - Zoubir, Abdelhak M.
PY - 2022/7
Y1 - 2022/7
N2 - The problem of off-grid direction-of-arrival (DOA) estimation is investigated. We develop a grid-based method to jointly estimate the closest spatial frequency (the sine of DOA) grids, and the gaps between the estimated grids and the corresponding frequencies. By using a second-order Taylor approximation, the data model under the framework of joint-sparse representation is formulated. We point out an important property of the signals of interest in the model, namely the proportionality relationship, which is empirically demonstrated to be useful in the sense that it increases the probability of the mixing matrix satisfying the block restricted isometry property. Simulation examples demonstrate the effectiveness and superiority of the proposed method against several state-of-the-art grid-based approaches.
AB - The problem of off-grid direction-of-arrival (DOA) estimation is investigated. We develop a grid-based method to jointly estimate the closest spatial frequency (the sine of DOA) grids, and the gaps between the estimated grids and the corresponding frequencies. By using a second-order Taylor approximation, the data model under the framework of joint-sparse representation is formulated. We point out an important property of the signals of interest in the model, namely the proportionality relationship, which is empirically demonstrated to be useful in the sense that it increases the probability of the mixing matrix satisfying the block restricted isometry property. Simulation examples demonstrate the effectiveness and superiority of the proposed method against several state-of-the-art grid-based approaches.
KW - Block restricted isometry property (RIP)
KW - Compressive sensing
KW - Off-grid DOA estimation
KW - Second-order Taylor approximation
UR - http://www.scopus.com/inward/record.url?scp=85125436590&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85125436590&origin=recordpage
U2 - 10.1016/j.sigpro.2022.108513
DO - 10.1016/j.sigpro.2022.108513
M3 - 21_Publication in refereed journal
VL - 196
JO - Signal Processing
JF - Signal Processing
SN - 0165-1684
M1 - 108513
ER -