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Matched filtering for the measurement of conjugately ducted VLF transmissions
Author(s) -
Starks M. J.,
Lee M. C.
Publication year - 2000
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1029/1999rs002227
Subject(s) - amplitude , atmospheric duct , signal (programming language) , doppler effect , remote sensing , physics , waveform , noise (video) , acoustics , ionosphere , very low frequency , geology , optics , computer science , geophysics , telecommunications , radar , meteorology , astronomy , artificial intelligence , atmosphere (unit) , image (mathematics) , programming language
The application of matched filtering to the problem of very low frequency (VLF) radio signals ducted between magnetically conjugate points on the Earth by ionospheric plasma structures has been examined theoretically and implemented in recent field experiments. With accurate knowledge of the source VLF transmission the subionospheric component of the received waveform can be effectively removed, and the characteristics of the remaining ducted signal can be accurately estimated. Although the technique has been shown not to produce strictly consistent estimates of the subionospheric and ducted signal amplitudes, it is able to efficiently recover the transit delays and amplitudes of ducted man‐made whistler mode emissions for reasonable values of the relevant signal‐to‐noise ratios. This is substantiated by the use of matched filtering to analyze data collected by radio receivers placed at the conjugate ends of a magnetic field line, thereby recovering the amplitudes and transit delays of ducted signals with time resolution as small as 30 s. An arbitrary degree of accuracy can be obtained in these measurements through the use of bit stream extraction and comparison. Further correlation analysis can be performed to extract Doppler shifts due to drifting ducts, and the small time resolution makes possible studies of ducting under rapidly changing conditions.