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Distributed algorithms have been proposed to address the problem of detection and estimation over wireless sensor networks. For diffusion algorithms, the combination weights play an important role. The estimates collected from some neighbors are less reliable than the others due to low signal-to-noise ratio (SNR) conditions. Thus, smaller weights can be given to the noisy estimates, with larger weights...
We consider the problem of estimating the position of an indoor wireless transmitter. Based on Angle of Arrival (AOA) readings from several base stations, a wireless transmitter's position has traditionally been determined using a least-squares approach. In particular, care is taken to ensure that the least-squares estimator is unbiased. Unbiased estimators are known minimize the difference between...
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