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Proceedings Paper

Cognitive processing for nonlinear radar
Author(s): Anthony Martone; Kenneth Ranney; Abigail Hedden; Gregory Mazzaro; David McNamara
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Paper 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.

Paper Details

Date Published: 31 May 2013
PDF: 10 pages
Proc. SPIE 8714, Radar Sensor Technology XVII, 87140H (31 May 2013); doi: 10.1117/12.2018948
Show Author Affiliations
Anthony Martone, U.S. Army Research Lab. (United States)
Kenneth Ranney, U.S. Army Research Lab. (United States)
Abigail Hedden, U.S. Army Research Lab. (United States)
Gregory Mazzaro, U.S. Army Research Lab. (United States)
David McNamara, U.S. Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 8714:
Radar Sensor Technology XVII
Kenneth I. Ranney; Armin Doerry, Editor(s)

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