Our journal paper
– D. Ciuonzo and P. Salvo Rossi, “Decision Fusion with Unknown Sensor Detection Probability”
has been accepted for publication in IEEE Signal Processing Letters.
The paper provides a detailed study on fusion rules which exploit the sole knowledge of the sensor false-alarm probabilities. Existing rules in the literature are theoretically compared and a locally-optimum detection (LOD) based fusion rule is derived, showing performance close to the (clairvoyant) Likelihood-ratio test.