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This paper presents the application of the fully adaptive radar (FAR) framework for cognition to a distributed radar network. Multiple instances of the FAR framework were arranged hierarchically, allowing for multiple levels of perception and adaptation. We demonstrated this approach using two distributed radar nodes connected to a fusion center. Each node adapted its transmitted waveform parameters...
By monitoring surroundings and adapting system parameters, cognitive radar has been shown to outperform traditional feed-forward radar systems. This paper builds upon the fully adaptive radar (FAR) framework for cognition. A coordinate descent (CD) algorithm is used with the FAR framework to adapt two radar parameters while tracking a single target. Simulated and experimental results are used to demonstrate...
Most radar systems employ a feed-forward processing chain in which they first perform some low-level processing of received sensor data to obtain target detections and then pass the processed data on to some higher-level processor such as a tracker, which extracts information to achieve a system objective. System performance can be improved using adaptation between the information extracted from the...
We provide an overview of recent advances that have come about in the area of cognitive radar over the past decade. The area of cognitive radar involves closed loop radar operation to overcome the challenges imposed by harsh environments, difficult targets, and a rapidly shrinking spectrum. In particular this construct is devised to bring to bear all available resources on transmit and receive as...
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