Cognitive Nonlinear Radar
ARMY RESEARCH LAB ADELPHI MD SENSORS AND ELECTRON DEVICES DIRECTORATE
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In this report, a unique cognitive nonlinear radar CNR is introduced. Research and development efforts for the CNR are currently funded by the U.S. Army Research Laboratory ARL. The CNR adapts to 1 an increasingly cluttered electromagnetic EM environment, a growing problem for ground-based and airborne radar systems 2 multiple targets and 3 other radar, communication, and electronic systems that must operate without interfering with each other. The CNR uses a narrowband, nonlinear radar target detection methodology. This methodology has the advantage, as compared with other nonlinear radar systems that do not implement a cognitive scheme, to adapt to the radio frequency RF environment by intelligently selecting waveform parameters using adaptive algorithms. The adaptive algorithms optimize the waveform parameters based on 1 the EM interference, 2 target likelihood, and 3 permissible transmit frequencies as specified by regulations and allowable by other systems operations within the environment.
- Active and Passive Radar Detection and Equipment