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This paper investigates the direct position determination (DPD) problem from passive measurements made with a moving antenna array in the case of a timevarying number of emitting moving sources. We use two DPD approaches to solve the estimation problem based on a single source and a multi-source model, respectively. The Qd-DPD approach offers a superior performance for intermittent sources where 1d-DPD...
This paper investigates the direct position determination (DPD) problem from passive measurements made with a moving antenna array in the case of a time-varying number of emitting sources. We derive the Cramér-Rao bound (CRB) for the estimation problem and find an approximation that is applicable for a large number of observations. We use different DPD approaches to solve the estimation problem. Therein,...
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...
We propose a novel approach to solve the bearing data association problem in the presence of clutter. The key idea is to interpret the azimuth measurements as being generated by an antenna array. In contrast to the traditional Hough transform approach, this direct estimator requires, in principle, no additional parameters like bearing variances. Furthermore, we present an improvement of both approaches...
We study a direct location estimator for the problem of calculating the positions of multiple sources from measurements made with a moving antenna array. In the first pre-processing step, subspaces are formed from the raw antenna outputs at all positions of the moving array. Then the parameters of interest are directly estimated from a cost function that results from fusing all subspaces. This Subspace...
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