Study on Conventional vs. Convolutional Windows for Reduction of Side Lobes

Abstract

The purpose of this research is to analyze convolutional windows and compare their performance to that of traditional windows. The window is convoluted on its own to create convolutional windows. These new windows are used to create a pseudo-LFM signal utilising two stage piece wise linear frequency functions. The proposed LFM signal was simulated using both traditional and convolutional window functions, and it was discovered that convolutional windows produce better peak to side lobe level ratio (PSLR) values than traditional windows.