Comparing Radar Receiver Pulse Deinterleaving Performance of Differing Window Functions for Bandpass FIR Filter Design

Scheme design of the optimal background clutter suppression for impulse radio ultrawide band radar in complex fire environment: a simulation and experimental study

“…22 The Hamming window is selected to denoise the radar echo signal with the comparison of window function characteristics proved by Ref. 21.…”

“…The constants usually have values α ¼ 25∕46 and β ¼ 21∕46, which cancel the first sidelobe of the Hamming window by placing a zero at frequency 5π∕ðN − 1Þ. 23 Adaptive background subtraction. Adaptive background subtraction (ABS) is a classical background subtraction method based on the trend transformation relationship between before and after frame pulse signal, 11 and its basic equation can be formulated as follow: 24,25…”

“…In radar technology, filter is a commonly method for selecting the ideal frequency based on the fast Fourier transform 20 . The window function accompanied with the filter is to highlight the signals in the frequency range of interest, 21 for which Chebyshev, Hamming, Kaiser, and other windows functions with different respective functions have been rapidly developed and widely used 22 . The Hamming window is selected to denoise the radar echo signal with the comparison of window function characteristics proved by Ref.…”

“…2.2, the N takes [0.5155 0.7302] normalized frequencies bandwidth as window length and n takes 40 as the iterated sample. The constants usually have values α=25/46 and β=21/46, which cancel the first sidelobe of the Hamming window by placing a zero at frequency 5π/(N−1) 23 …”