Improvements on deinterleaving of radar pulses in dynamically varying signal environments

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Date

2017

Journal Title

Journal ISSN

Volume Title

Publisher

Academic Press inc Elsevier Science

Research Projects

Organizational Units

Organizational Unit
Department of Electrical & Electronics Engineering
Department of Electrical and Electronics Engineering (EE) offers solid graduate education and research program. Our Department is known for its student-centered and practice-oriented education. We are devoted to provide an exceptional educational experience to our students and prepare them for the highest personal and professional accomplishments. The advanced teaching and research laboratories are designed to educate the future workforce and meet the challenges of current technologies. The faculty's research activities are high voltage, electrical machinery, power systems, signal and image processing and photonics. Our students have exciting opportunities to participate in our department's research projects as well as in various activities sponsored by TUBİTAK, and other professional societies. European Remote Radio Laboratory project, which provides internet-access to our laboratories, has been accomplished under the leadership of our department with contributions from several European institutions.

Journal Issue

Abstract

An electronic support system receiver which is a passive receiver picks up an interleaved stream of pulses and extracts their pulse parameters. These parameters are sent to a deinterleaving subsystem which sorts them and forms pulse cells that each are assumed to belong to a specific emitter. In this paper, we develop a method for this task of deinterleaving of radar pulse sequences. For this aim, a novel pulse amplitude tracking algorithm is proposed for dynamically varying signal environments wherein radar parameters can change abruptly. This method particularly works for air-to-air engagements where pulse amplitude distortion due to channel effects can be considered negligible. Simulation results show that the proposed algorithm incorporated with a clustering algorithm improves deinterleaving of radar emitters that have agile pulse parameters such as airborne radars. (C) 2017 Elsevier Inc. All rights reserved.

Description

Kara, Ali/0000-0002-9739-7619; Gencol, Kenan/0000-0003-4044-3482

Keywords

Electronic support systems, Deinterleaving, Self-organizing map (SOM), Fuzzy ART, Pulse amplitude tracking algorithm

Turkish CoHE Thesis Center URL

Citation

28

WoS Q

Q2

Scopus Q

Q2

Source

Volume

69

Issue

Start Page

86

End Page

93

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