Title :
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
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;
Conference_Titel :
Radar Conference, 2006. EuRAD 2006. 3rd European
Conference_Location :
Manchester
Print_ISBN :
2-9600551-7-9
DOI :
10.1109/EURAD.2006.280318
