Cognitive processing for nonlinear radar

Anthony Martone; Kenneth Ranney; Abigail Hedden; Gregory Mazzaro; David McNamara

doi:10.1117/12.2018948

31 May 2013 Cognitive processing for nonlinear radar

Anthony Martone, Kenneth Ranney, Abigail Hedden, Gregory Mazzaro, David McNamara

Proceedings Volume 8714, Radar Sensor Technology XVII; 87140H (2013) https://doi.org/10.1117/12.2018948
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

An increasingly cluttered electromagnetic environment (EME) is a growing problem for radar systems. This problem is becoming critical as the available frequency spectrum shrinks due to growing wireless communication device usage and changing regulations. A possible solution to these problems is cognitive radar, where the cognitive radar learns from the environment and intelligently modifies the transmit waveform. In this paper, a cognitive nonlinear radar processing framework is introduced where the main components of this framework consist of spectrum sensing processing, target detection and classification, and decision making. The emphasis of this paper is to introduce a spectrum sensing processing technique that identifies a transmit-receive frequency pair for nonlinear radar. It will be shown that the proposed technique successfully identifies a transmit-receive frequency pair for nonlinear radar from data collected from the EME.

Citation Download Citation

Anthony Martone, Kenneth Ranney, Abigail Hedden, Gregory Mazzaro, and David McNamara "Cognitive processing for nonlinear radar", Proc. SPIE 8714, Radar Sensor Technology XVII, 87140H (31 May 2013); https://doi.org/10.1117/12.2018948

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