This work deals with detection optimisation issues in distributed mult
iradar systems employing parallel decision fusion from local detectors
with local discrete and continuous free-design parameters. The author
s propose an efficient partial optimisation approach that avoids the e
xhaustive search for the optimal discrete parameters and allows a larg
e reduction in the computational load for global system optimisation.