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Multisensor data association is very important in multisensor information fusion, which will decide whether the data from different sensors is representative for the same target. Tradition data association uses the joint probabilistic data association (JPDA) algorithm as the priority means, which depends on the state measurement and has long computation time. So, in this paper, a new algorithm based...
Data association mainly decided whether the data from different sensors stood for the same target in multi-target information fusion. Tradition data association always took the joint probabilistic data association (JPDA) algorithm as the priority means which depend on the state measurement and was complex with long computation time. A PDA algorithm used in the paper based on gray correlation analysis...
We present new theoretical results on the semi-cooperative spectrum fusion (SCSF) method of data fusion for spatially correlated information in wireless sensors. Data fusion exploits correlated sensed information to save scarce sensor energy by reducing the communication energy costs. SCSF eliminates medium access control (MAC) and all data communication between sensors. In SCSF, a beacon is sent...
Recent developments in compressed sensing have shown that if a signal has a low Kolmogorov complexity, then it can be reconstructed from a certain number of random projections. We study the distributed coding of correlated Gaussian sources. Both intra- and inter-correlation models are considered in the source models. Decoding schemes in which it is possible to exploit the existing correlation between...
One of the main requirements of cognitive radio systems is the ability to reliably detect the presence of licensed primary transmissions. Previous works on the problem of detection for cognitive radio have suggested the necessity of user cooperation in order to be able to detect at the low signal-to-noise ratios experienced in practical situations. We consider a system of cognitive radio users who...
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