Performance Comparison of Blackman, Bartlett, Hanning, and Kaiser Window for Radar Digital Signal Processing

Filtering is a necessary part from the digital signal processing in radar. This research is focused on comparing the performance of 4 windowing methods for designing a digital filter with finite impulse response (FIR) type or a 9,3 GHz surveillance radar system. In this study, Blackman, Bartlett, Hanning, and Kaiser windows are modelled in QT software. The experiment is performed by picking 512 and 1024 frame length in all frequency bands. Parameters examined are the amplitude and the frequency. Result showed that Kaiser has the best performance for this radar application.