TELECOMMUNICATIONS AND RADIO ENGINEERING - 2011 Vol. 70,
No 1 		 

 

 

 

TEXTURAL ANALYSIS OF CEPSTRUM IMAGES OF SUBSURFACE STRUCTURES


O.V. Sytnik
A. Usikov Institute of Radio Physics and Electronics,
National Academy of Sciences of Ukraine 12, Academician Proskura St., Kharkiv 61085, Ukraine
E-mail: ssvp121@rambler.ru

Abstract
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.

KEY WORDS: ground-penetrating radar; videopulse signals; cepstrum analysis; targets; subsurface ground layers; texture; a target detection algorithm; training sample

References

  1. Born, M. and Wolf, E., (1973), Fundamentals of optics, Nauka, Moscow: 719 p. (in Russian).
  2. Levin, B.R., (1966), Theoretical foundations of statistical radioengineering, Sov. Radio, Moscow: 728 p. (in Russian).
  3. Noll, A.M., (1967), Cepstrum pitch determination, Trans of the Acoustical Soc. of America. 41(2).
  4. Wiener, N., (1949), Extrapolation, interpolation and smoothing of stationary time series, New York, John Willey, - 162 p.
  5. Openheim, A.V. and Shafer, R.V., (1979), Digital signal processing, Svyaz, Moscow: 416 p. (in Russian).
  6. Harmouth, Kh.F., (1985), Nonsinusoidal waves in radio location and radio communication, Radio and Svyaz, Moscow: 376 p. (in Russian).
  7. Sytnik, O.V. and Gorokhovatsky, A.V., (2007), Algorithm for signal processing in identifying subsurface objects, Izv. VUZov. Radioelektronika. 50(10):43-52 (in Russian).
  8. Sytnik, O.V., (2006), Ground-penetrating radar data preprocessing, Telecommunications and Radio Engineering. 65(7):621-631.


pages 87-94

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