Paper
31 May 2013 Cognitive nonlinear radar test-bed
Abigail S. Hedden, David A. Wikner, Anthony Martone, David McNamara
Author Affiliations +
Abstract
Providing situational awareness to the warfighter requires radar, communications, and other electronic systems that operate in increasingly cluttered and dynamic electromagnetic environments. There is a growing need for cognitive RF systems that are capable of monitoring, adapting to, and learning from their environments in order to maintain their effectiveness and functionality. Additionally, radar systems are needed that are capable of adapting to an increased number of targets of interest. Cognitive nonlinear radar may offer critical solutions to these growing problems. This work focuses on ongoing efforts at the U.S. Army Research Laboratory (ARL) to develop a cognitive nonlinear radar test-bed. ARL is working toward developing a test-bed that uses spectrum sensing to monitor the RF environment and dynamically change the transmit waveforms to achieve detection of nonlinear targets with high confidence. This work presents the architecture of the test-bed system along with a discussion of its current capabilities and limitations. A brief outlook is presented for the project along with a discussion of a future cognitive nonlinear radar test-bed.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Abigail S. Hedden, David A. Wikner, Anthony Martone, and David McNamara "Cognitive nonlinear radar test-bed", Proc. SPIE 8714, Radar Sensor Technology XVII, 87140X (31 May 2013); https://doi.org/10.1117/12.2017861
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KEYWORDS
Radar

Algorithm development

Target detection

Signal detection

Signal generators

Signal to noise ratio

Spectrum analysis

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