The optimization of cosine window function using Genetic Algorithm and its application in bistatic planar near-field scattering measurements

The cosine window function with the parameters optimized by Genetic Algorithm (GA) is applied in bistatic planar near-field scattering measurements so as to effectively improve the measurement precision. The infinitely long ideal conductor cylinder as the target under test, the bistatic planar near-field scattering measurement technique is studied by the method of computer simulation. The calculation results show that the truncation errors caused by finite scan plane in the far-field RCS of the target under test obtained by near-field to far-field transformation can be reduced greatly by the weighting process of the measured scattering near-field data by means of the cosine window function with the parameters optimized by GA.