Statistical properties of radar backscatter data for imaging applications

被引:1
作者
Odendaal, JW [1 ]
Niemand, P [1 ]
机构
[1] Univ Pretoria, Dept Elect Elect & Comp Engn, ZA-0002 Pretoria, South Africa
关键词
radar imaging; radar measurements; radar scattering;
D O I
10.1109/TAP.2002.807372
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Traditionally radar imaging algorithms implement second-order statistics. In this article, the statistical properties, (Gaussianity, linearity, and frequency-reversibility) of measured backscattered radar data are evaluated in order to determine the statistical dependence of radar data. Non-Gaussianity, nonlinearity, or frequency-irreversibility favors the use of higher order statistics, rather than second-order statistics in modeling radar backscatter data for imaging applications. The backscatter radar data from a scale model Airbus A310 was measured in a compact range and used for this investigation.
引用
收藏
页码:670 / 672
页数:3
相关论文
共 8 条
[1]   SIGNAL-DETECTION AND CLASSIFICATION USING MATCHED FILTERING AND HIGHER-ORDER STATISTICS [J].
GIANNAKIS, GB ;
TSATSANIS, MK .
IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1990, 38 (07) :1284-1296
[2]   HIGH-RESOLUTION RADAR IMAGING USING 2-D LINEAR PREDICTION [J].
GUPTA, IJ .
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 1994, 42 (01) :31-37
[3]  
Mensa D. L., 1991, High Resolution Radar Cross-Section Imaging
[4]  
Niemand P, 1997, MICROW OPT TECHN LET, V16, P1, DOI 10.1002/(SICI)1098-2760(199709)16:1<1::AID-MOP1>3.0.CO
[5]  
2-H
[6]  
Nikias C., 1993, Higher-order Spectra Analysis: A Nonlinear Signal Processing Framework
[7]   2-DIMENSIONAL SUPERRESOLUTION RADAR IMAGING USING THE MUSIC ALGORITHM [J].
ODENDAAL, JW ;
BARNARD, E ;
PISTORIUS, CWI .
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 1994, 42 (10) :1386-1391
[8]   BISPECTRUM OF RADAR SIGNATURES AND APPLICATION TO TARGET CLASSIFICATION [J].
WALTON, EK ;
JOUNY, I .
RADIO SCIENCE, 1990, 25 (02) :101-113