IJPAM: Volume 108, No. 3 (2016)

SYNTHESIS AND ANALYSIS OF DETECTION ALGORITHM
OF DISTRIBUTED SOURCES AGAINST BACKGROUND
WITH DISTRIBUTED CLUTTER

Leonid G. Dorosinskiy
Institute of Radioelectronics and Information Technologies
Ural Federal University Named After the First
President of Russia B.N. Yeltsin
620002, Ekaterinburg, RUSSIAN FEDERATION


Abstract. The paper deals with an algorithm for detection of a broadband signal received from a multiple-unit source against the background with architecturally-like clutters that differ by location and additive space-uncorrelated noise. It is shown that the optimal detection algorithm represents the weight processing in the «ray space» of the transformed vector of observed data and does not demand access of any large matrix. A maximum likelihood ratio is chosen as the optimality criterion. After determining the inverse of the correlation function, expression for the optimal weight function is obtained. The design ratios for determination of detection characteristics under the Gaussian statistics of signals and clutters are given. The results confirm the property of the suggested algorithm: at low signal/noise ratios, efficiency of point targets detection is better, and at the large ratios the distributed targets are better detected.

Received: May 29, 2016

AMS Subject Classification: 68MXX, 00AXX

Key Words and Phrases: detection algorithm, point targets distributed targets and sources, distributed clutter

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DOI: 10.12732/ijpam.v108i3.15 How to cite this paper?

Source:
International Journal of Pure and Applied Mathematics
ISSN printed version: 1311-8080
ISSN on-line version: 1314-3395
Year: 2016
Volume: 108
Issue: 3
Pages: 651 - 658


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