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Relationship of the probability of correct detection of target trajectory as a function of SNR

Sequential detection of target trajectory using the decision statistics of pips

Oleksandr S. Neuimin, S. Ya. Zhuk


Algorithms of target trajectory detection using the likelihood functions of the pip with maximum decision statistic and all the pips in the tracking strobe have been synthesized on the basis of the Wald sequential criterion. These algorithms were analyzed using the statistic simulation for the case of detecting the target trajectory from data of surveillance radar measuring the range and radial velocity of target.


target detection; strongest neighbor; track-before-detect; sequential probability ratio test; pulse-Doppler radar

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FARINA, A.; STUDER, F.A. Radar Data Processing. Introduction and Tracking, Vol. 1. New York: Wiley, 1985, 325 p. ISBN 0863800262.

BUZZI, S.; LOPS, M.; VENTURINO, L. Track-before-detect procedures for early detection of moving target from airborne radars. IEEE Trans. Aerosp. Electron. Syst., v.41, n.3, p.937-954, 2005. DOI:

KUZMIN, S.Z. Foundations of the Theory of Radar Data Digital Processing. Moscow: Sov. Radio, 1974 [in Russian], 432 p.

LI, X. RONG. Tracking in clutter with strongest neighbor measurements. I. Theoretical analysis. IEEE Trans. Automatic Control, v.43, n.11, p.1560-1578, Nov. 1998. DOI:

KUZMIN, S.Z. Digital Radiolocation. Introduction to the Theory. Kyiv: KViTs, 2000 [in Russian], 428 p. ISBN 966-7192-20-2.

SHIRMAN, Y.D.; BAGDASARYAN, S.T.; MALYARENKO, A.S.; ET AL. Radioelectronic Systems: Fundamentals and Theory. Reference Book, 2nd ed. Moscow: Radiotekhnika, 2007 [in Russian, ed. by Ya. D. Shirman], 512 p. ISBN 5-88070-112-3.

WALD, A. Sequential Analysis. New York: John Wiley & Sons Inc., 1947.

KRICHIGIN, A.V.; MAVRYCHEV, E.A. Multi-scanning detection algorithms of moving target track. Trudy NGTU im. R.E. Alekseeva, n.4, p.11-18, 2010,

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