Cognitive processing for nonlinear radar

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

doi:10.1117/12.2018948

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31 May 2013 Cognitive processing for nonlinear radar

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

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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.

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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

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