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This paper studies the problem of simultaneous deciding on hypotheses and estimating a random parameter. We propose a joint decision and estimation (JDE) formulation, which amounts to minimizing a risk related to both decision and estimation while decision performance is also constrained within a tolerable level. The risk used in this paper is a weighted sum of estimation costs conditioned on correct...
In this paper, we investigate the problem of non-myopic (multi-step ahead) quantizer design for target tracking using a wireless sensor network. Adopting the alternative conditional posterior Cramér-Rao lower bound (A-CPCRLB) as the optimization metric, we theoretically show that this problem can be temporally decomposed over a certain time window. Based on sequential Monte-Carlo methods for tracking,...
This paper is devoted to the problem of tracking multiple targets in clutter and a new methods is presented. We first formulate the data assignments problem of measurement-to-target as a linear programming problem. Through using the linear programming (LP)-based branch-and-bound method and adjusting the constraint conditions, the optimal sets based on linear programming (LP-OS) method is presented...
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