Azimuth-only localization and accuracy study for piecewise curvilinearly moving targets
Marc Oispuu, Julian Hörst · 2010
Passive tracking of maneuvering emitters is of fundamental interest. For this purpose, an appropriate motion model, the piecewise curvilinear motion model, is presented in this paper. The high-dimensional target state is characterized by position, speed, course, piecewise constant tangential and normal velocity, as well as maneuver change-over times. A single moving sensor collects azimuth measurements to obtain the target state. In order to determine the maximum achievable estimation accuracy, we derive the Cramér-Rao bounds for this estimation problem. A maximum likelihood estimator is proposed to solve the localization problem and to calculate the maneuver change-over times. Estimation results are obtained in Monte Carlo simulations and the efficiency of the estimator is proven by comparing these results with the theoretical Cramér-Rao bound.