  We consider a track selection problem for multi-target tracking in a
multifunction radar network from a game-theoretic perspective. The problem is
formulated as a non-cooperative game. The radars are considered to be players
in this game with utilities modeled using a proper tracking accuracy criterion
and their strategies are the observed targets whose number is known. Initially,
for the problem of coordination, the Nash equilibria are characterized and, in
order to find equilibria points, a distributed algorithm based on the
best-response dynamics is proposed. Afterwards, the analysis is extended to the
case of partial target observability and radar connectivity and heterogeneous
interests among radars. The solution concept of correlated equilibria is
employed and a distributed algorithm based on the regret-matching is proposed.
The proposed algorithms are shown to perform well compared to the centralized
approach of significantly higher complexity.
