Title :
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
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;
Conference_Titel :
Aerospace and Electronics Conference, 1996. NAECON 1996., Proceedings of the IEEE 1996 National
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-3306-3
DOI :
10.1109/NAECON.1996.517676
