In this work we introduce a novel track formation procedure to overcome the performance losses of the two-stage track-before-detect architecture in [1] when targets are closely-spaced. The proposed strategy adopts a dynamic programming algorithm which successively estimates the trajectories of prospective targets and removes the corresponding measurements from the input data, and which does not need a discretization of the state space. Experimental results demonstrate that its detection capabilities are almost independent of the mutual distance of the targets and equal to those of the system in [1] when targets are widely-spaced.
A track-before-detect algorithm with successive track cancellation / Grossi, Emanuele; Lops, Marco; Venturino, Luca. - (2013), pp. 45-48. ((Intervento presentato al convegno IEEE Workshop on Computational Advances in Multi-Sensor Adaptive Processing tenutosi a Saint Martin, French West Indies nel 15-18 Decembe 2013 [10.1109/CAMSAP.2013.6714003].
A track-before-detect algorithm with successive track cancellation
LOPS, Marco;
2013
Abstract
In this work we introduce a novel track formation procedure to overcome the performance losses of the two-stage track-before-detect architecture in [1] when targets are closely-spaced. The proposed strategy adopts a dynamic programming algorithm which successively estimates the trajectories of prospective targets and removes the corresponding measurements from the input data, and which does not need a discretization of the state space. Experimental results demonstrate that its detection capabilities are almost independent of the mutual distance of the targets and equal to those of the system in [1] when targets are widely-spaced.File | Dimensione | Formato | |
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