期刊
IEEE TRANSACTIONS ON SIGNAL PROCESSING
卷 65, 期 19, 页码 5249-5261出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSP.2017.2728504
关键词
Time difference of arrival (TDOA); augmented Lagrangian method (ALM); semi-definite programming (SDP); semi-definite relaxation (SDR); majorization-minimization (MM) algorithm; alternating direction method of multipliers (ADMM)
资金
- Israel Science Foundation [503/15, 965/15]
- Amnon Pazi Foundation
We consider the design of a pair of moving sensors trajectories for the purpose of optimally localizing a stationary emitter based on time-difference-of-arrival measurements. The localization error covariance matrix is predicted by the Cramer-Rao bound. As an optimization criterion for the localization error, we propose the maximization of the smallest eigenvalue of the Fisher information matrix that is associated with the major principle axis of the confidence ellipsoid. We establish the path design problem under a set of constraints rising from speed, maneuvering, safety, and no-fly zones limitations. We propose a solution based on a nonconvex alternating direction method of multipliers. We examine the results of the algorithm for the case of a pair of sensor against the basin hopping global optimizer with impressive results.
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