A new method for detecting jittered PRI in histogram-based methods

MOSTAFA BAGHERI; Mohammad Hossein SEDAAGHI

Article Details

A new method for detecting jittered PRI in histogram-based methods

Authors:

MOSTAFA BAGHERI | Mohammad Hossein SEDAAGHI

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2018 Vol.26 Issue 3, pp.1214-1224

Document Type:

Article

Publication Date:

5/2018

Document Language:

Turkish

Document ID (Org No.):

2000735053

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632

Abstract:

 

Histogram-based methods are among the best methods for   deinterleaving, because of their easy implementation. However, they have a   basic defect when they encounter a jittered pulse repetition interval (PRI).   Jittered PRI is one of the most sophisticated patterns for electronic   warfare (EW) receivers. In jittered PRI, the time among successive pulses   varies in a totally random manner; thus its detection is very complicated.   In this paper we present a new method for extracting jittered PRI from   histogram-based methods. Simulation results demonstrate excellent   performance of the proposed method in normal as well as hard circumstances   where a higher missing pulse rate occurs or even when several targets with   PRI of type jitter exist.

Article Details

A new method for detecting jittered PRI in histogram-based methods

Authors: MOSTAFA BAGHERI | Mohammad Hossein SEDAAGHI

Publisher: TUBITAK

Journal: Turkish Journal of Electrical Engineering and Computer Science 2018 Vol.26 Issue 3, pp.1214-1224

Document Type: Article

Publication Date: 5/2018

Document Language: Turkish

Document ID (Org No.): 2000735053

Frequency: Bimonthly

eISSN: 1303-6203

pISSN: 1300-0632

Issues

Authors:

MOSTAFA BAGHERI | Mohammad Hossein SEDAAGHI

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2018 Vol.26 Issue 3, pp.1214-1224

Document Type:

Article

Publication Date:

5/2018

Document Language:

Turkish

Document ID (Org No.):

2000735053

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632