ASU Electronic Theses and Dissertations
- 1 English
As the demand for spectrum sharing between radar and communications systems is steadily increasing, the coexistence between the two systems is a growing and very challenging problem. Radar tracking in the presence of strong communications interference can result in low probability of detection even when sequential Monte Carlo tracking methods such as the particle filter (PF) are used that better match the target kinematic model. In particular, the tracking performance can fluctuate as the power level of the communications interference can vary dynamically and unpredictably. This work proposes to integrate the interacting multiple model (IMM) selection approach with the PF …
- ZHOU, JIAN, Papandreou-Suppappola, Antonia, Kovvali, Narayan, et al.
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