  We consider an optimization deployment problem of multistatic radar system
(MSRS). Through the antenna placing and the transmitted power allocating, we
optimally deploy the MSRS for two goals: 1) the first one is to improve the
coverage ratio of surveillance region; 2) the second goal is to get a even
distribution of signal energy in surveillance region. In two typical working
modes of MSRS, we formulate the optimization problem by introducing two
objective functions according to the two mentioned goals, respectively.
Addressing on two main challenges of applying multi-objective particle swarm
optimization (MOPSO) in solving the proposed optimization problem, we propose a
deployment algorithm based on multiobjective particle swarm optimization with
non-dominated relative crowding distance (MOPSO-NRCD). For the challenge of
value difference, we propose a novel selection method with a non-dominated
relative crowding distance. For the challenge of particle allocation, a
multi-swarm structure of MOPSO is also introduced. Finally, simulation results
are given out to prove the advantages and validity of the proposed deployment
algorithm. It is shown that with same number of employed particles, the
proposed MOPSO-NRCD algorithm can achieve better optimization performance than
that of traditional multiobjective particle swarm optimization with crowding
distance (MOPSO-CD).
