Michael Bakich

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Ground targets are constrained to move on the Earth's surface and are most likely to travel along a road network. For targets on road, their interaction with the environment and with each other particularly at intersections is more structured, thus useful to tracking algorithms. Indeed, the knowledge of terrain database and road maps can be used as(More)
With high-resolution radar sensors such as HRRR and SAR, ground targets become visible more as a rich set of radar signatures corresponding to the target geometrical details than as a single reflector with an equivalent RCS. This has enabled target classification and identification (ID). As a "by-product" of the target ID process, the pose angles are(More)
Target tracking performance is determined by the fidelity of target mobility model (F, Q), tracking sensor measurement quality (R), and sensor-to-target geometry (H). A tracking sensor manager has choices in sensor selection/placement (H), waveform design (R), and filter tuning (F and Q), thus affecting the tracking performance in many ways. This paper(More)
In this paper, we compare the information-theoretic metrics of the Kullback-Leibler (K-L) and Renyi (D) divergence formulations for sensor management. Information-theoretic metrics have been well suited for sensor management as they afford comparisons between distributions resulting from different types of sensors under different actions. The difference in(More)
This paper analyzes the effects of special target-sensor geometries, particularly, some degenerate cases (near singular observation matrix), on the performance of target positioning and tracking. A scenario of practical significance is when two or more sensors form nearly parallel line of sight (LOS) vectors to targets. Examples include netted radars that(More)
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