Radar target identification using multifractal geometry

Ban Quach; Henry Leung; Titus K. Y. Lo; John Litva

doi:10.1117/12.243200

14 June 1996 Radar target identification using multifractal geometry

Ban Quach, Henry Leung, Titus K. Y. Lo, John Litva

Proceedings Volume 2755, Signal Processing, Sensor Fusion, and Target Recognition V; (1996) https://doi.org/10.1117/12.243200
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

The design of a system to distinguish objects from measurements of their radar backscatter signals has been a topic of considerable investigation. In the identification of a particular target out of a library of possible targets, the difficulty is that the radar signals cannot be fed rawly into a classifier. Some signal processing has to be done to generate the signal features for target identification. In this paper, multifractal geometry is applied to address the practical issue of discrimination between fishing boat, growlers (small pieces of glacial ice) and sea scattered signals, which is important for search-and-rescue operation. An efficient box-counting method is used to compute the generalized dimension and the multifractal spectrum of different targets and sea scattered signals. In an effort to support our study, X-band radar measurements were collected and analyzed to determine the separability of sea surface targets and sea scattered signals using the multifractal geometry.

Citation Download Citation

Ban Quach, Henry Leung, Titus K. Y. Lo, and John Litva "Radar target identification using multifractal geometry", Proc. SPIE 2755, Signal Processing, Sensor Fusion, and Target Recognition V, (14 June 1996); https://doi.org/10.1117/12.243200

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available