Analysis of Different Window Function Effects on Doppler Processing in HFSWR Signal Processing

In this paper a few implementations of Doppler processing based on sequential Fast Fourier Transform (FFT) in High Frequency Surface Wave Radar (HFSWR) signal processing are examined. The main difference between those implementations is in so called "window" function used for preparation of the data before the final FFT. Three different sets of magnitudes of weights used to form Hamming, Blackman and Blackman-Harris, window functions will be evaluated here. The optimal window function may vary depending on the given situation, but for the examined data set it is estimated that Blackman Harris window function represents an optimal solution. It is important to note that data used for this evaluation is obtained from HFSWR sites located in the Gulf of Guinea.