  In this correspondence we study the problem of channel-aware decision fusion
when the sensor detection probability is not known at the decision fusion
center. Several alternatives proposed in the literature are compared and new
fusion rules (namely 'ideal sensors' and 'locally-optimum detection') are
proposed, showing attractive performance and linear complexity. Simulations are
provided to compare the performance of the aforementioned rules.
