An adaptive two-decision sequential target trajectory detection algorithm using the decision statistics of plots

Authors

DOI:

https://doi.org/10.20535/RADAP.2014.59.66-75

Keywords:

target track detection, unknown SNR, Wald test, decision statistic, likelihood function

Abstract

Introduction. The synthesis of an adaptive target trajectory detection algorithm having the opportunity along with the decision of the main tasks to perform SNR estimation is of great practical importance. For this simple complement sequential test is applied.
Problem statement. The problem of the adaptive target trajectory detection can be formulated as a problem of a simple hypothesis sequential testing about the target track absence against the composite alternative with SNR estimating by using a minimum mean square error estimator.
Development of an adaptive two-decision sequential target trajectory detection algorithm. In this section expressions for calculating the likelihood ratios and the SNR estimate are obtained.
Effectiveness Analysis of Algorithm. Analysis of the adaptive algorithm is carried out as an example of target trajectory detection due to surveillance radar which measures range and range rate using the statistical modeling. The decision statistics related to noise- and target-originate measurements are described by an exponential distribution and Swerling 1 distribution respectively. With the purpose of comparative analysis, effectiveness analysis of non-adaptive sequential target trajectory detection algorithm based on the Wald test is also carried out.
Conclusions. The developed adaptive algorithm reduces the decision time, as the decision in favor of the complex hypothesis of the target existence is taken without specifying simple hypothesis which having place. Average time true detection of false track when is reduced by 1.7 times compared to the non-adaptive two-decision algorithm.

Author Biographies

O. S. Neuimin, National Technical University of Ukraine, Kyiv Politechnic Institute, Kiev

Neuimin O.S.

S. Ya. Zhuk, National Technical University of Ukraine, Kyiv Politechnic Institute, Kiev

Zhuk S.Ya.

References

Литература

Van Keuk G. Sequential track extraction / G. van Keuk // IEEE Transactions on Aerospace and Electronic Systems. – 1998. – V.34. – № 4. – P. 1135-1148.

Неуймин А. С. Последовательное обнаружение траектории цели с использованием решающих статистик отметок / А. С. Неуймин, С. Я. Жук // Изв. вузов. Радиоэлектроника. – 2014. – № 6. – С. 35–46.

Стратонович Р. Л. Принципы адаптивного приема / Р. Л. Стратонович. – М. : Сов. радио, 1973. – 143 с.

Васильев В. И. Распознающие системы. Справочник / В. И. Васильев. – К. : Наукова думка, 1983. – 422 с.

Жук С. Я. Многоальтернативное последовательное решающее правило с отбрасыванием неудачных гипотез / С. Я. Жук, В. И. Ковалев // Проблемы управления и информатики. – 2000. – № 4. – С. 88-96.

Жук С. Я. Совместная фильтрация состояния и распознавание типа структуры динамической системы с отбрасыванием неудачных гипотез / С. Я. Жук, В. И. Ковалев // Известия вузов. Радиоэлектроника. – 2001. – № 7. – С.16-26.

Трифонов А.П. Совместное различение сигналов и оценка их параметров на фоне помех / А. П. Трифонов, Ю. С. Шинаков. – М. : Радио и связь, 1986. – 264 с.

References

Keuk V. (1998) Sequential track extraction. IEEE Transactions on Aerospace and Electronic Systems. Vol. 34, No 4, pp. 1135-1148.

Neuimin O. S. and Zhuk S. Ya. (2014) Sequential detection of target trajectory using the decision statistics of pips. Radioelectronics and Communications Systems, Vol. 57, No. 8, pp. 352-361.

Stratonovich R. L. (1973) Principy adaptivnogo priema [Adaptive receiving principles]. Moscow, Sov. radio Publ., 143 p.

Vasil'ev V.I. (1983) Raspoznayushhie sistemy. Spravochnik [Recognition system. Handbook]. Kyiv, Naukova dumka Publ., 422 p.

Zhuk S. Ya. and Kovalev V. I. (2000) The multiple-choice sequential decision rule with rejection of unfortunate hypotheses. Journal of Automation and Information Sciences, Vol. 32, No. 10, pp. 52-58.

Zhuk S. Ya. and Kovalev V. I. (2001) State joint filtering and recognition of the structure type of a dynamic system with rejection of unsuccessful hypotheses. Izvestiya Vysshikh Uchebnykh Zavedenij. Radioelektronika, Vol. 44, No. 7, pp. 16-26 (in Russian).

Trifonov A. P. and Shinakov Yu. S. (1986) Sovmestnoe razlichenie signalov i ocenka ix parametrov na fone pomex [Joint distinction signals and estimation of their parameters in noise]. Moscow, Radio i svyaz' Publ., 264 p.

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Published

2014-11-30

How to Cite

Неуймін, О. С. and Жук, С. Я. (2014) “An adaptive two-decision sequential target trajectory detection algorithm using the decision statistics of plots”, Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, 0(59), pp. 66-75. doi: 10.20535/RADAP.2014.59.66-75.

Issue

No. 59 (2014)

Section

Telecommunication, navigation, radar systems, radiooptics and electroacoustics

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