Folding Deinterleaving Algorithm for Multiple Mixed Pulse Trains with Pulse Repetition Intervals

Author

Quan, Guang-ri ; Sun, Yu-shan ; Chen, Bin

Author_Institution

Sch. of Software, Harbin Inst. of Technol., Weihai

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

3334

Lastpage

3338

Abstract

In this paper, a new deinterleaving algorithm for separating pulse signals from a multiple superposed pulse train is presented. We also introduce the current research in radar signal recognition, and point out that the synchronization method used in computing pulse repetition interval has some disadvantages, such as the "double period" phenomenon. It is shown, by a case study and analysis, that the new algorithm is much more efficient for high density pulse signal environment compared with that in synchronized method

Keywords

radar signal processing; signal detection; source separation; synchronisation; time-domain analysis; deinterleaving algorithm; double period phenomenon; high density pulse signal environment; multiple superposed mixed pulse train; pulse repetition intervals; radar signal recognition; synchronization method; Cybernetics; Delay; Filtering; Frequency synchronization; Machine learning; Machine learning algorithms; Pulse circuits; Pulse measurements; Radar; Signal analysis; Software algorithms; Sun; Time measurement; Signal recognition; folding deinterleaving algorithm; multiple pulse trains; pulse repetition interval;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.258470

Filename

4028643