TY - GEN
T1 - Optimal sensor-target geometries analysis for Angle-of-arrival localization
AU - Feifei, Pang
AU - Qunfei, Zhang
AU - Wentao, Shi
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/22
Y1 - 2016/11/22
N2 - The target position accuracy suffers from the bad relative sensor-target geometries for Angle-of-arrival localization techniques. To reduce the impact, the optimal sensor-target geometries in the 2D plane are investigated based on maximizing the determinant of the Fisher information matrix. To solve the optimal problem, the conditions that the local optimal solutions should satisfy are studied by discussing the first derivative and Hessian matrix. For two sensors with arbitrary distance to the target, it is shown that the optimal geometry is obtained if the two bearing lines are mutually perpendicular. The optimal geometry is studied for more than two sensors with the equal distance. Simulation results illustrate the effectiveness of the proposed the optimal relative sensor-target geometries.
AB - The target position accuracy suffers from the bad relative sensor-target geometries for Angle-of-arrival localization techniques. To reduce the impact, the optimal sensor-target geometries in the 2D plane are investigated based on maximizing the determinant of the Fisher information matrix. To solve the optimal problem, the conditions that the local optimal solutions should satisfy are studied by discussing the first derivative and Hessian matrix. For two sensors with arbitrary distance to the target, it is shown that the optimal geometry is obtained if the two bearing lines are mutually perpendicular. The optimal geometry is studied for more than two sensors with the equal distance. Simulation results illustrate the effectiveness of the proposed the optimal relative sensor-target geometries.
KW - Angle of arrival localization
KW - Fisher information matrix
KW - Optimal relative sensor-target geometry
UR - http://www.scopus.com/inward/record.url?scp=85006841033&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC.2016.7753589
DO - 10.1109/ICSPCC.2016.7753589
M3 - 会议稿件
AN - SCOPUS:85006841033
T3 - ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings
BT - ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016
Y2 - 5 August 2016 through 8 August 2016
ER -