Reducing the Amount of Recorded Data in a Noise Radar Using Spectral Processing Algorithms
K.A. Lukin and J.A. Shiyan
A. Usikov Institute of Radio Physics and Electronics,
National Academy of Sciences of Ukraine
12, Academician Proskura St., Kharkiv 61085, Ukraine
Abstract
Preliminary results are given concerning the possibility of reducing the amount of data recorded in a noise radar with coherent spectral processing. It is shown that a reliable estimate of the autocorrelation function of a signal representing the sum of the sounding noise signal and the echo can be obtained, using a greatly reduced sampling frequency. It is noted that the suggested approach is more efficient for narrow-band signals.
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