Design and simulation of a Multistatic radar system and optimizing the radar sites positions using multiobjective genetic algorithms

Multistatic radar systems have many applications such as homeland security, anti-air defense, anti-missile defense, and ground target detection. In this project, a multistatic radar system, capable of detecting a flying object within the coverage area and computing its position and velocity in a three-dimensional coordinate system, is simulated. Calculating the radar cross section, the kind of the object is recognized. If the object’s path follows a specific equation of motion, the path can be estimated only after the first detection. Otherwise, the simulation procedure estimates the object’s path by tracking it. Simulation results show that the proposed method can effectively be applied to applications such as anti-air defense systems. To increase the signal to noise ratio and vastness of the coverage area around a specific point, a solution to optimally locate the radar sites, is presented. As the design parameterss are conflicting, this is achieved using a multiobjective design technique.