3 accepted papers
Recent methods for tracking multiple objects have addressed important issues such as time-varying cardinality, unordered sets of measurements, and object labeling. Another challenge is how to robustly associate objects on a new scene with previously estimated objects. We propose a new method to trac…
In this paper, we propose a method to estimate the space-time covariance matrix of rapidly varying sea clutter. The method first develops a dynamic state space representation for the covariance matrix and then approximates the covariance using the nearest Kronecker product to reduce computational co…
In this paper, we extend the multiple transition mode track- before-detect (TBD) algorithm to track multiple low observable targets in compound Gaussian sea clutter. The proposed TBD framework uses the un-thresholded fast time radar measurements to track multiple targets in low signal-to-clutter rat…