Wideband radar imaging using chaotic-based Gaussian frequency modulation

Berenice Verdin; Benjamin C. Flores

doi:10.1117/12.666300

8 May 2006 Wideband radar imaging using chaotic-based Gaussian frequency modulation

Berenice Verdin, Benjamin C. Flores

Proceedings Volume 6210, Radar Sensor Technology X; 62100E (2006) https://doi.org/10.1117/12.666300
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

In previous work, we proposed to generate random samples using chaotic maps. More specifically, we demonstrated that Gaussian samples can be obtained via two random number generators that utilize first order or second order chaotic maps. In this paper we extend this work and propose to utilize the chaos-based random generators to develop a Gaussian FM signal that can be exploited for radar imaging. For this purpose, we fine-tune the chaotic map parameters of the Gaussian FM signal until we obtain a white wide-band spectrum, which is computed as an ensemble average, and analyze the corresponding ambiguity surface of the signal. We observe that the ensemble average of the ambiguity surface approaches an ideal two dimensional delta with uniformly distributed sidelobes on the range-Doppler plane. On average the sidelobes of the surface have intensity inversely proportional to the length of the processed echo. For completeness, we compare the variance of the Gaussian FM ambiguity function to that of a random binary phase code with comparable bandwidth. Furthermore, we show through simulations that Fourier processing of the Gaussian FM signal can yield a high-resolution range-Doppler image aircraft with prominent point scattering points over a substantial SNR dynamic range.

Citation Download Citation

Berenice Verdin and Benjamin C. Flores "Wideband radar imaging using chaotic-based Gaussian frequency modulation", Proc. SPIE 6210, Radar Sensor Technology X, 62100E (8 May 2006); https://doi.org/10.1117/12.666300

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