RT Journal Article
ID 65e959af315b4f68
A1 Sytnik, Oleg
T1 TEXTURAL ANALYSIS OF CEPSTRUM IMAGES OF SUBSURFACE STRUCTURES
JF Telecommunications and Radio Engineering
JO TRE
YR 2011
FD 2011-03-04
VO 70
IS 1
SP 87
OP 94
K1 ground-penetrating radar; videopulse signals; cepstrum analysis; targets; subsurface ground layers; texture; a target detection algorithm; training sample
AB 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.
PB Begell House
LK https://www.dl.begellhouse.com/journals/0632a9d54950b268,386eb8c7104dbedb,65e959af315b4f68.html