Pattern synthesis for opportunistic array radar based on fuzzy dependent-chance programming

In this paper, the problem of pattern synthesis for opportunistic array radar is studied, and a new pattern synthesis algorithm based on fuzzy dependent-chance programming is proposed. The algorithm based on credibility theory, considers antenna elements with random distribution and excited state of uncertainty, uses fuzzy variables to characterize the complex and uncertain environment of antenna elements, and creates the programming model for pattern synthesis. A searching method integrating the technique of fuzzy simulation and genetic algorithm is designed to search the quasi-optimal schedule under some decision-making criterion. Simulation examples are given to demonstrate the feasibility of the searching method for solving the proposed model.