Search
Abstract
To make decisions, cognitive radar must rely on predictions of its own performance. In the literature, these predictions are usually based on some form of Cram\'er-Rao lower bound. This approach is scientifically sound, but it also brings a possibility of the cognitive controller overestimating radar performance. It therefore makes sense to back theoretical predictions with careful experiments which will verify their applicability. Using a simple direction of arrival estimator as an example we discuss how an experimental performance curve can be obtained. We also propose an extended approach, which employs experimental data to estimate parameters of a performance curve which includes floor and threshold effects.
Citations
-
0
CrossRef
-
0
Web of Science
-
0
Scopus
Cite as
Full text
- Publication version
- Accepted or Published Version
- License
- Copyright (2017 IEEE)
Keywords
Details
- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- 2017 Signal Processing Symposium (SPSympo) strony 1 - 5
- Language:
- English
- Publication year:
- 2017
- Bibliographic description:
- Meller M..: Experimental evaluation of estimator mean square error curve for cognitive tracking radar, W: 2017 Signal Processing Symposium (SPSympo), 2017, ,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/sps.2017.8053675
- Bibliography: test
-
show (9) hide
- J. Guerci, Cognitive Radar: The Knowledge-aided Fully Adaptive Ap- proach. Artech House, 2010. open in new tab
- S. Haykin, Cognitive Dynamic Systems: Perception-action Cycle, Radar and Radio. Cambridge University Press, 2012. open in new tab
- K. L. Bell, C. J. Baker, G. E. Smith, J. T. Johnson, and M. Rangaswamy, "Cognitive radar framework for target detection and tracking," IEEE Journal of Selected Topics in Signal Processing, vol. 9, no. 8, pp. 1427- 1439, 2015. open in new tab
- H. L. Van Trees, K. L. Bell, and Z. Tian, Detection, Estimation, and Modulation Theory Part I. New York: John Wiley & Sons, 2013. open in new tab
- M. Meller, "Radar time budget optimization subject to angle accuracy constraint via cognitive approach," in Proc. 2017 International Radar Symposium (IRS 2017), Prague, Czech Republic, 2017. open in new tab
- D. K. Barton, Radar System Analysis and Modeling. Artech House, 2005.
- S. Nadarajah, "A generalized normal distribution," Journal of Applied Statistics, vol. 32, no. 7, pp. 685-694, 2005. open in new tab
- J. Nelder and R. Mead, "A simplex method for function minimization," The Computer Journal, vol. 7, no. 4, p. 308, 1965. open in new tab
- R. Fletcher, Practical methods of optimization. New York: John Wiley & Sons, 1987.
- Verified by:
- Gdańsk University of Technology
seen 73 times