Detection of the Markov Signals in a Mixture with the Markov Correlated Clutters using Autoregressive Models

Author

Prokopenko, I.G.

Author_Institution

Nat. Aviation Univ., Kiev

fYear

2006

fDate

13-15 Sept. 2006

Firstpage

237

Lastpage

240

Abstract

New adaptive algorithms of detection of correlated signals on background of correlated clutter are proposed. Algorithms are based on autoregressive Markovian model of random process. Statistical hypothesis about parameters of autoregressive model of narrow band random process are checked. Viability and efficiency of new algorithms proves to be true by using statistical modeling as well as by processing real signals of weather radar

Keywords

Markov processes; adaptive radar; autoregressive processes; correlation methods; meteorological radar; radar clutter; radar detection; radar signal processing; random processes; statistical analysis; Markov signal detection; adaptive algorithm; autoregressive model; correlated clutter; random process; real signal processing; statistical modeling; weather radar; Adaptive signal detection; Clutter; Detection algorithms; Meteorological radar; Narrowband; Radar detection; Random processes; Signal detection; Signal processing; Signal synthesis; Adaptive signal detection; algorithms; autoregressive processes; simulation software;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference, 2006. EuRAD 2006. 3rd European

Conference_Location

Manchester

Print_ISBN

2-9600551-7-9

Type

conf

DOI

10.1109/EURAD.2006.280318

Filename

4058302