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In this case, we devise a scheme to estimate the motion of targets using multiple frames.
The coordinated attitude control discussed in this study is related to the attitude maneuvers of a tracking satellite and to the orbital motion of targets placed in orbits of lower altitudes.
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Conversely, the MD simulations permit the molecular motion of target and ligand.
In ISAR imaging, the non-cooperative motion of target must be compensated to make the echoes consistent with the model of rotated platform in Fig. 2.
Micro-Doppler, induced by micro-motion of targets, is an important characteristic for target recognition once extracted via parameter estimation.
In addition, this study is conducted for a much larger number of targets, e.g. several hundreds of cells, while the motions of targets are more strongly correlated than those considered by the previous studies.
Here, we present a new model-driven approach to derive a description of the motion of a target object.
In the first experiment, the setup is configured as shown in Fig. 4 considering the planar 2-D motion of a target object.
This section is to estimate the motion parameters of target with micro-motion, namely to extract the curves of target's motion from the time-varying micro-Doppler frequency image.
To account for oversensing in operation, we define a measure for the motion of detected targets in the past L frames.
These powerful onset biases are observed with brief intermittent presentations at a single location or with continual smooth motion of the targets.
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