High resolution radar detection based on fractal dimension

Author

Tang, Jinsong ; Zhu, Zhaoda

Author_Institution

Dept. of Electron. Eng., Nanjing Univ. of Aeronaut. & Astron., China

Volume

1

fYear

1996

fDate

20-23 May 1996

Firstpage

369

Abstract

It is difficult to design a detector for high resolution radar because of the time variability and non-linearity (or non-Gauss) of radar clutter and target. Recently someone proposed a method of signal detection based on fractal dimension. The basic idea is to decide whether there is a target or not by using the difference of fractal dimension between signal and interference (including clutter and noise). Firstly this paper studies the fractal dimension of range profiles of B52 plane model at different aspect obtained in microwave anechoic chamber. Then it models fractal dimension as a random variable, and designs a likelihood ratio detector based on fractal dimension. The performance of this detector is analyzed by statistic theory instead of Monte-Carlo simulation

Keywords

fractals; least squares approximations; maximum likelihood detection; radar clutter; radar detection; radar target recognition; radar theory; B52 plane model; box-counting dimension; fractal dimension; frequency-stepped waveform; high resolution radar detection; interference; least square linear regression; likelihood ratio detector; multiple pulses; noise; non-Gaussian clutter; random variable; range profiles; statistical model; Anechoic chambers; Detectors; Fractals; Interference; Performance analysis; Radar clutter; Radar detection; Random variables; Signal detection; Signal resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace and Electronics Conference, 1996. NAECON 1996., Proceedings of the IEEE 1996 National

Conference_Location

Dayton, OH

ISSN

0547-3578

Print_ISBN

0-7803-3306-3

Type

conf

DOI

10.1109/NAECON.1996.517676

Filename

517676