3D TDOA Emitter Localization Using Conic Approximation

This paper develops a new time difference of arrival (TDOA) emitter localization algorithm in the 3D space, employing conic approximations of hyperboloids associated with TDOA measurements. TDOA measurements are first converted to 1D angle of arrival (1D-AOA) measurements that define TDOA cones centred about axes connecting the corresponding TDOA sensor pairs. Then, the emitter location is calculated from the triangulation of 1D-AOAs, which is formulated as a system of nonlinear equations and solved by a low-complexity two-stage estimation algorithm composed of an iterative weighted least squares (IWLS) estimator and a Taylor series estimator aimed at refining the IWLS estimate. Important conclusions are reached about the optimality of sensor-emitter and sensor array geometries. The approximate efficiency of the IWLS estimator is also established under mild conditions. The new two-stage estimator is shown to be capable of outperforming the maximum likelihood estimator while performing very close to the Cramer Rao lower bound in poor sensor-emitter geometries and large noise by way of numerical simulations.

Automated summary

This paper presents a new algorithm for localizing emitters in the 3D space using time difference of arrival (TDOA) measurements and conic approximations. It converts TDOA measurements to 1D angle of arrival (1D-AOA) measurements and calculates the emitter location through triangulation. The algorithm consists of an iterative weighted least squares (IWLS) estimator and a Taylor series estimator, and it outperforms the maximum likelihood estimator in poor sensor-emitter geometries and high noise.