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The increase in space debris can seriously threaten regular activities in the Low Earth Orbit (LEO) environment. Therefore, it is necessary to develop robust, efficient and reliable techniques to understand the potential motions of the LEO debris. In this paper, we propose a novel signal processing approach to detect and estimate the motions of LEO space debris that is based on a fence-type space...
Group targets data association is a key part of group targets analysis through multisensor information fusion. Traditional data association methods using group centroids are no longer applicable when the observation areas of multiple sensors partially overlap. Aiming at the problem a new group targets data association algorithm is proposed in this paper. Firstly, the local structures centered on every...
A 2-D ESPRIT type method is presented for the scattering centers measurements in step-frequency radar. This method estimates the signal parameter pairs directly unlike the matrix enhancement and matrix pencil (MEMP) method which contains an additional step to pair the parameters related to each dimension. We use a forward-backward prediction data matrix to increase the estimation accuracy and the...
A modified matrix pencil (MP) method is discussed with applications to the scattering centers measurements in step-frequency radar system. Comparison with the Kumaresan-Tufts (KT) method, a parameter estimation method belonging to the "polynomial" method, is given out, and it is shown the MP method is more robust than the KT method with respect to noise and to the pencil parameter changes...
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