DocumentCode
3112339
Title
Statistical analysis of high resolution land clutter
Author
Davidson, G. ; Griffiths, H.D. ; Ablett, S.
Author_Institution
Kochi Univ. of Technol., Japan
fYear
2002
fDate
15-17 Oct. 2002
Firstpage
434
Lastpage
438
Abstract
Results are described from land clutter analysis obtained from the fixed site BYSON radar at Malvern. Digital terrain elevation data is used to determine the imaged regions and the normalized log estimator, U, is measured to investigate the stability of the high resolution heavy-tailed clutter distribution. A numerical Laplace inversion scheme is described that can determine the distribution of an arbitrary sum of K-distributed variates within noise. However, without a priori knowledge of the clutter distribution, long-tailed distributions can only be accepted after rejecting the hypothesis of exponential clutter that may contain edges. A likelihood based discrimination test is proposed which can operate simultaneously at the same spatial level as a constant false alarm rate (CFAR) window. Results suggest that the majority of the scene is in fact closer to edge-corrupted speckle and many ´spiky´ areas are related to man-made structures.
Keywords
Laplace transforms; image resolution; parameter estimation; radar clutter; radar imaging; radar resolution; statistical analysis; CFAR window; K-distributed variates; clutter distribution stability; constant false alarm rate; digital terrain elevation data; edge-corrupted speckle; exponential clutter; fixed site BYSON radar; high resolution heavy-tailed clutter distribution; high resolution land clutter; imaged regions; land clutter analysis; likelihood based discrimination test; long-tailed distributions; man-made structures; noise; normalized log estimator; numerical Laplace inversion; statistical analysis; Azimuth; Clutter; Frequency; Instruments; Layout; Radar cross section; Sea measurements; Statistical analysis; Statistics; Testing;
fLanguage
English
Publisher
iet
Conference_Titel
RADAR 2002
Conference_Location
Edinburgh, UK
ISSN
0537-9989
Print_ISBN
0-85296-750-0
Type
conf
DOI
10.1109/RADAR.2002.1174744
Filename
1174744
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