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This paper presents an exact Bayesian filtering solution for the multiobject tracking problem with the generic observation model. The proposed solution is designed in the labeled random finite set framework, using the product styled representation of labeled multiobject densities, with the standard multiobject transition kernel and no particular simplifying assumptions on the multiobject likelihood...
In this paper, we address the target detection problem using multi-sensor dynamic programming based track before detect (DP-TBD) methods. First, we give two implementation methods of multi-sensor DP-TBD under the centralized processing and the distributed processing, respectively. Then, in order to improve the implementation efficiency of the multi-sensor DP-TBD, we further propose an improved DP-TBD...
In this paper, we propose a new class of random finite set (RFS), which is the union of a group of Bernoulli RFSs with unknown level of correlation, whose statistics are considered jointly. The proposed RFS is referred to as joint multi-Bernoulli (JMB) RFS defined by a set of parameters. As a preliminary study, this paper provides the derivations of set density, set marginal density of JMB RFS family,...
This paper addresses the detection strategy of a single pulse for range-distributed targets. The background is assumed to be compound Gaussian-distributed clutter with partially correlated clutter. Firstly, the definition of information entropy is introduced. Then, a new nonparametric detection strategy based on Renyi's quadratic entropy is proposed. Moreover, we present numerical results for the...
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