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In this paper we examine the single sensor, bearings-only target tracking problem. This problem is known to be difficult due to the potential unobservability of elements of the targetpsilas state and the high degree of nonlinearity in the measurement process. We compare the performance of three different tracking algorithms. The algorithms are of varying degrees of computational complexity. The results...
Indoor WLAN positioning should be modeled as a nonlinear and non-Gaussian dynamic system due to the complex indoor environment, radio propagation and motion behaviour. The aim of this paper is to analyze different filtering strategies for real life indoor WLAN positioning systems. The performance criteria for the comparison are the mean of localization errors and computational complexity. Three nonlinear...
Large numbers of heterogeneous sensors the collect and fuse information in dynamic environments are envisioned in domains, such as military operations, disaster response or border surveillance. Depending on the dynamically evolving needs, operators will submit to groups of these sensors information acquisition and fusion goals that must be fulfilled within time constraints. To fulfill these goals,...
Most of the existing distributed estimation fusion algorithms rely on the existence of the inverses of the corresponding error covariance matrices, e.g., distributed estimation fusion algorithms based on the information form of the Kalman filter and the optimal weighted least-square (WLS) estimator. Theoretically speaking, the error covariance matrices are only at least positive semi-definite and...
We study basic properties related to the task of localizing a source using distance-difference measurements to it. These properties are related to minimalistic realizations of localization systems in terms of the number of sensors and computational complexity. We first establish conditions for unique identification of a source in Euclidean plane. We then derive the minimum number of sensors needed...
Overcoming the computational complexity of Dempsterpsilas rule of combination for fusing data and information continues to be an actively researched problem within Dempster-Shafer theory. Previous efforts to reduce the computational complexity have employed a variety of strategies. However, most have avoided directly evaluating the expression for combining two belief potentials because this involves...
In emerging cognitive radio (CR) networks, the first cognitive task preceding any dynamic spectrum management is the sensing and identification of spectrum holes in wireless environments. This paper develops a distributed compressed spectrum sensing approach for (ultra-)wideband CR networks. First, compressive sampling is performed at local CRs to scan the very wide spectrum at practical signal-acquisition...
A promising line of research attempts to bridge the gap between radar detector and radar tracker by means of considering jointly optimal parameter settings for both of these subsystems. This approach, which can also be considered as a form of feedback from the tracker to the detector results in an adaptive radar system. In the present work, we attempt to move in a direction to fulfill this promise...
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