Abstract
Exile of Bayessian approach from mathematical statistics hampered development of stable theory of CFAR and STAP. Therefore, there are many heuristic fixed all aspects of the theory. But, look better, began to create generalized Bayessian theory, then can get treatment algorithm in the fast changing conditions are not correct. The result showed that the maximum likelihood method does not always apply to solve problems and STAP CFAR. However, this is not fully meet the author, because they Bayessian here to provide solutions, based on a priory the PG model setting threshold CFAR STAP system. We hope that this paper will be the first step cooperation to solve this problem.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Fisher, R.A.: On the Mathematical Foundations of Theoretical Statistics. Phil. Trans. Royal Soc., A222 (1922)
Neyman, J.: Two Breakthroughs in the Theory of Statistical Decision Making Review de l’Inst Intern de Stat., vol. 30(1) (1962)
Groot, M.H.: Optimal Statistical Decisions. McGraw Hill Company, N.Y (1970)
Yu, V.P. (ed.): Mathematical Encyclopedia. Soviet Encyclopedia, Moscow (1988) (in Russian)
Corado, V.A.: Optimum Detection of Signals with Random Parameters against the Background of Noise of Unknown Intensity under Condition of Constant False Alarm Probability. Adio Engineering and Electronic Physics 13(6), 969–972 (1968)
Hansen, V.G.: Constant False Alarm Processing in the Search Radar. In: Radar 1973, London (1973)
Kelly, E.: An adaptive detection algorithm. IEEE Trans. AES-22(1), 122 –133 (1986)
Robey, F., Fuhrmann, D., Kelly, E., Nitzberg, M.: A CFAR Adaptive Matched Filter Detection. IEEE Trans. AES-28(1), 208–216 (1992)
Haimovich, A.: The Eigencanceler: Adaptive Radar by Eigenanalisis Method. IEEE Trans. AES-32(2), 532–542 (1996)
Goldstein, J.S., Reed, I.S., Zulch, P.A.: Multistage Partially Adaptive STAP CFAR Detection Algorithm. IEEE Trans. AES-35(2), 645–661 (1999)
Capraro, G., Farina, A., Griffits, H., Wicks, M.: Knowledge –Based Radar Signal and Data Processing. IEEE SP Magazine (1) (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zheng, X., Chang, L., Liu, J., Zhang, Q. (2012). Study on Mathematical Statistics and Heuristic Corrections. In: Qu, X., Yang, Y. (eds) Information and Business Intelligence. IBI 2011. Communications in Computer and Information Science, vol 267. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29084-8_35
Download citation
DOI: https://doi.org/10.1007/978-3-642-29084-8_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29083-1
Online ISBN: 978-3-642-29084-8
eBook Packages: Computer ScienceComputer Science (R0)