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2014 IEEE Radar Conference 2014
DOI: 10.1109/radar.2014.6875797
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Potential pitfalls of cognitive radars

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Cited by 16 publications
(7 citation statements)
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“…Even with these generalizations, there are a large range of significant extensions to these bounds to make them applicable to more scenarios. While information has not historically been considered a figure of merit for radar, with cognitive radar architectures taking center stage [16], information-centric measures are needed to intelligently control radar emissions [17] and maximize spectral cooperation with communications users.…”
Section: Discussionmentioning
confidence: 99%
“…Even with these generalizations, there are a large range of significant extensions to these bounds to make them applicable to more scenarios. While information has not historically been considered a figure of merit for radar, with cognitive radar architectures taking center stage [16], information-centric measures are needed to intelligently control radar emissions [17] and maximize spectral cooperation with communications users.…”
Section: Discussionmentioning
confidence: 99%
“…Lu and Chen [69] describe the merging of HF radar with CR to create systems less dependent on highly skilled operators. Cognitive waveform parameter selection on the basis of a priori information, and external ionosphere measurements are described in [70]. Holdsworth [71] discusses performance assessment in cognitive over‐the‐horizon radar using synthetic targets.…”
Section: Motivation For a Cognitive Radar Classification Schemementioning
confidence: 99%
“…Along with the potential gains of CR, we should also consider the problems which might be encountered as we progress towards practical CR. Greenspan [73] highlights several 'potential pitfalls' where caution should be exercised, from the reliability of knowledge sources, to the extent of training times required for learning machines, and the potential for learning stagnation. The legal implications of inappropriate actions taken by intelligent machines such as CR must also be carefully considered.…”
Section: Fig 2: Knowledge Aided Fully Adaptive Cognitivementioning
confidence: 99%
“…However, intelligent metrics beyond those in traditional radar phenomenology are still lacking in modern systems [16].…”
Section: B Backgroundmentioning
confidence: 99%