Decision Fusion With Unknown Sensor Detection Probability

In this letter 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.