TY - GEN
T1 - Sparse Bayesian Learning for Direct Position Determination with Mutual Coupling
AU - Ma, Fei
AU - Wang, Yuexian
AU - Wang, Ling
AU - Han, Chuang
N1 - Publisher Copyright:
© 2021 USNC-URSI under licence to authors.
PY - 2021
Y1 - 2021
N2 - Based on sparse Bayesian learning, a novel direct position determination (DPD) algorithms with mutual coupling is presented. To reduce the computational complexity and correlation between nearby grid points, we utilize coarse non-uniformly sampled 2D grid. To handle the modeling error, we have theoretically derived the estimation expressions for the mutual coupling vectors. Simulation results show the effectiveness of the proposed method.
AB - Based on sparse Bayesian learning, a novel direct position determination (DPD) algorithms with mutual coupling is presented. To reduce the computational complexity and correlation between nearby grid points, we utilize coarse non-uniformly sampled 2D grid. To handle the modeling error, we have theoretically derived the estimation expressions for the mutual coupling vectors. Simulation results show the effectiveness of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=85126759479&partnerID=8YFLogxK
U2 - 10.23919/USNC-URSI51813.2021.9703618
DO - 10.23919/USNC-URSI51813.2021.9703618
M3 - 会议稿件
AN - SCOPUS:85126759479
T3 - 2021 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2021 - Proceedings
SP - 116
EP - 117
BT - 2021 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2021
Y2 - 4 December 2021 through 10 December 2021
ER -