科研之友
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摘要
This brief studies the fusion estimation problem of signal to interference and noise ratio (SINK) for a class of wireless networks. Based on the SINR state-space model with unknown covariances and unknown but bounded congestion control function, each local SINR estimator is designed such that an upper bound of the H-2 estimation performance is minimal. To improve the estimation performance, a convex optimization problem on the design of an optimal distributed fusion criterion is established in terms of linear matrix inequalities, which can be easily solved by standard software packages. Simulations are given to show the effectiveness of the proposed methods.
