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Cognitive radar: A knowledge-aided fully adaptive approach
Abstract
A confluence of recent breakthroughs in knowledge-aided (KA) processing and adaptive transmit (ATx) radar technologies has enabled a new generation of cognitive radar architectures that affords unprecedented levels of intelligent adaptivity. In this paper one such architecture is introduced by the integration of KA and ATx methods to produce a new cognitive radar that encompasses an environmental dynamic database (EDDB), a “look-ahead” high performance embedded computing (HPEC) architecture pioneered under the DARPA/AFRL KASSPER project, and adaptive transmit (spatio-temporal) functionality.
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Cites
An introduction to multisensor data fusion
Hall, D. L., & Llinas, J. (1997) · Proceedings of the IEEE · doi:10.1109/5.554205 · Cited by 2,629
Cited by
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Survey of RF Communications and Sensing Convergence Research
Paul, B., Chiriyath, A. R., & Bliss, D. W. (2017) · IEEE Access · doi:10.1109/access.2016.2639038 · Cited by 482
Dual-Function Radar Communication Systems: A Solution to the Spectrum Congestion Problem
Hassanien, A., Amin, M. G., Aboutanios, E., & Himed, B. (2019) · IEEE Signal Processing Magazine · doi:10.1109/msp.2019.2900571 · Cited by 482
Cognitive Radar Framework for Target Detection and Tracking
Bell, K. L., Baker, C. J., Smith, G. E., Johnson, J. T., & Rangaswamy, M. (2015) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2015.2465304 · Cited by 283
Metadata
- Authors
- Guerci, J. R.
- Venue
- 2010 IEEE Radar Conference
- Publisher
- IEEE
- Published
- 2010
- Pages
- 1365-1370
- ISSN
- 1097-5659 (ISSN-L)
- OpenAlex
- W2071652847
- Cited by
- 472
- References
- 1
- FWCI
- 21.08
- Type
- conference paper
- Language
- en
- Open access
- closed
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