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The Cramer–Rao lower bounds are derived for the sinusoidal signals estimation in the collaborative systems or sensor networks. Obtained expressions point to the way how to design estimator in order to achieve high accuracy. In addition, they show accuracy limits of existing approaches.
Actual topic of estimation of sinusoidals in the wireless sensor network (WSN) setup is analyzed. A class of rapid frequency estimators is considered for this problem. In particular, the Aboutanios–Mulgrew algorithm is modified to meet the requirements of the WSN. Several approaches related to the availability of the central processing unit, estimation in each nodes, collaboration between sensor nodes...
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