A Study on Self-organizing Ubiquitous Wireless Network Architecture of Radar Communication

This paper focuses on the optimization of translatable displaced subarrays with large element spacing. At first, the principle beamforming of displaced subarrays is explained by the antenna pattern multiplication theorem. Then the displaced subarrays optimization problem is modeled and solved by genetic algorithm. The optimization variable is the movement of the phase center of the subarrays along the x-axis and y-axis. The objected function is based on two facts. One is the array factor of super array at the grating lobes. The other is the aperture efficiency. The constraint is that the subarrays do not overlap. Finally, a given octagonal array is optimized. The research shows that after the optimization, the array pattern grating is reduced by more than 14 dB, which can meet the engineering application, and the effectiveness of the method is further verified.