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31 May 2013Cognitive processing for nonlinear radar
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.