Inscrição na biblioteca: Guest
Portal Digital Begell Biblioteca digital da Begell eBooks Diários Referências e Anais Coleções de pesquisa
Telecommunications and Radio Engineering
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN Imprimir: 0040-2508
ISSN On-line: 1943-6009

Volumes:
Volume 78, 2019 Volume 77, 2018 Volume 76, 2017 Volume 75, 2016 Volume 74, 2015 Volume 73, 2014 Volume 72, 2013 Volume 71, 2012 Volume 70, 2011 Volume 69, 2010 Volume 68, 2009 Volume 67, 2008 Volume 66, 2007 Volume 65, 2006 Volume 64, 2005 Volume 63, 2005 Volume 62, 2004 Volume 61, 2004 Volume 60, 2003 Volume 59, 2003 Volume 58, 2002 Volume 57, 2002 Volume 56, 2001 Volume 55, 2001 Volume 54, 2000 Volume 53, 1999 Volume 52, 1998 Volume 51, 1997

Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v70.i1.90
pages 87-94

TEXTURAL ANALYSIS OF CEPSTRUM IMAGES OF SUBSURFACE STRUCTURES

Oleg Sytnik
IRE NASU (А. Usikov Institute of Radio Physics and Electronics of the National Academy of Sciences of Ukraine)

RESUMO

Consideration is being given to the problem of discriminating objects hidden under upper layers of the ground at depths comparable to the probing pulse duration. Based upon the cepstrum analysis a subsurface radar signal processing technique has been suggested. It is shown that, however the shape of the probing signal spectrum might be, the responses from point targets in the cepstrum images of subsurface ground layers make up the texture whose distinctive features enable objects to be detected and identified. As far as real systems are concerned, the false alarm probability is estimated at fixed SN ratios. Additionally, a study has been made of the issue as to the minimal length of a training sample, which is needed to obtain specified operating characteristics of a target detection algorithm. It is also revealed that for a preset SN ratio there is little point in extending the training sample length to an optimal value.

Referências

  1. Born, M. and Wolf, E., Fundamentals of optics.

  2. Levin, B.R., Theoretical foundations of statistical radioengineering.

  3. Noll, A.M., Cepstrum pitch determination.

  4. Wiener, N., Extrapolation, interpolation and smoothing of stationary time series.

  5. Openheim, A.V. and Shafer, R.V., Digital signal processing.

  6. Harmouth, Kh.F., Nonsinusoidal waves in radio location and radio communication.

  7. Sytnik, O.V. and Gorokhovatsky, A.V., Algorithm for signal processing in identifying subsurface objects.

  8. Sytnik, O.V., Ground-penetrating radar data preprocessing.


Articles with similar content:

Distinctive Features of Reflections from Above-Water Targets at Millimeter-Wave Band
Telecommunications and Radio Engineering, Vol.68, 2009, issue 13
V. G. Sugak, V. B. Razskazovsky, V. I. Lutsenko, Yu. A. Pedenko, T. I. Leksikova
The Dispersion-Spectral Method for Identification of Pulsed Radio Signals
Telecommunications and Radio Engineering, Vol.60, 2003, issue 1&2
V. O. Pismenetsky, Mykola I. Slipchenko, P. I. Platonov
Spectral Selection of Very-Low Frequencies Processes
Telecommunications and Radio Engineering, Vol.68, 2009, issue 2
Yu. A. Kopylov, I. A. Vyazmitinov, Oleg Sytnik, Ye. I. Myroshnychenko
A TECHNIQUE FOR MEASURING COORDINATES OF MOVABLE OBJECTS BY VIDEO PULSE RADARS
Telecommunications and Radio Engineering, Vol.77, 2018, issue 15
G. P. Pochanin, P. V. Kholod, S. A. Masalov, V. P. Ruban, Oleg Sytnik
Estimation of Implementation Errors Effect on Characteristics of Pseudorandom Radar Signal
Telecommunications and Radio Engineering, Vol.60, 2003, issue 1&2
Oleg Sytnik, Ye. I. Myroshnychenko