Receive Antenna Polarization Optimization Using Genetic Algorithm And Poincaré Sphere

Abstract

The receiving antenna polarization that maximizes SINR (Signal to Interference and Noise Ratio) was determined in the presence of varying arbitrarily polarized interferences and thermal noise using the genetic algorithm (GA) and Poincaré sphere representation of the polarization state. SINR is maximized by controlling a receiving antenna polarization that is mismatched to both the desired signal and interference polarizations so that a balance between the interference and the signal is obtained. The optimal receiving antenna polarization in the presence of varying interference and thermal noise was calculated using the GA. The relationship between the desired signal, the interference, and the optimal receiving antenna polarizations is shown. These results provide insight into applying polarization theory to improving signal reception in the presence of interference and thermal noise.