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At the SBS, linear combination of the test statistics from the SUs is the most common fusion rule.
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The most common fusion rules are OR-rule, AND-rule, and majority rule.
Three common fusion approaches are implemented in the form of the OR-rule, the AND-rule, and the voting-rule.
For example, a common approach to GF is to use the MAX (or 1-NN) fusion rule, where the similarity for a database structure is taken to be the maximum of the similarities between that structure and each of the reference structures.
There are mainly two fusion rules of CSS: data fusion rule and decision fusion rule.
The next sections examine two fusion rules, namely, the energy-based fusion rule and the decoding-based fusion rule.
We also derive the corresponding fusion rule.
For the data fusion rule, multiple cooperative SUs individually sense the channel, and then report their local sensing data to the fusion center through a bandwidth-limited common control channel.
The fusion rule we applied here is the maximum selection fusion rule.
A logistic regression fusion rule (LRFR) is formulated.
In this article, we focus on the data fusion rule.
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