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In this paper we consider the problem of target tracking in a network of mobile agents that receive asynchronous measurements. The agents measure received signal strengths from the target and broadcast the information to the remaining agents engaged in the tracking. We propose several non-centralized schemes based on particle filtering that account for the lack of synchronization. We demonstrate the...
Many important problems in signal processing can be reduced to the adequate selection of the parameters of a (possibly nonlinear) filter in order to obtain an output signal that complies with some desired properties. In this work, we analyze a novel criterion for selecting filter parameters that relies on the ability to characterize the desired filter output in terms of a target probability density...
This paper is aimed at the derivation of adaptive signal processing algorithms that jointly perform the tasks of blind data detection and generalized synchronization in a digital receiver. Optimal recovery of the synchronization parameters (timing, phase and frequency offsets) is analytically intractable and, as a consequence, most existing synchronization methods are either heuristic or based on...
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