每年出版 12 期
ISSN 打印: 0040-2508
ISSN 在线: 1943-6009
Indexed in
STATISTICAL RADIO PHYSICS
Reducing the Amount of Recorded Data in a Noise Radar Using Spectral Processing Algorithms
摘要
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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Lukin, K.A., Noise radar technology.
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Lukin, K.A., Noise radar technology: the principles and short overview.
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Poirier, J.L., Quasi-monochromatic scattering and some possible radar applications.
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Kulik, V.V., Lukin, K.A., and Rakityanskii, A modified method of bispectal processing of noise signals.
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Mogila, A.A., Lukin, K.A., and Kulik, V.V., Statistical error of range measuring by the spectral interferometry method.
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Kotelnikov, V.A., On the carrying capacity of ether and wires in electric communication.