Roman Pantyeyev

Work place: National Aviation University/Department of Electronics, Robotics, Monitoring and IoT Technologies, Kyiv, 03058, Ukraine

E-mail: romanpanteevmail@gmail.com

Website:

Research Interests: Mathematical Logic and Foundations, Radio Propagation

Biography

Roman Pantyeyev is an associate professor at the National Aviation University. His qualifications are Ph.D. (Radio Engineering and Telecommunication Means) from the National aviation university, Kyiv, Ukraine, M.Sc. and B.Sc. (Automation Systems) from Donetsk National Technical University, Ukraine. He has 6 years of teaching experience and his areas of interest include Signal Identification and Processing, Radio Monitoring Systems and Mathematical Modeling of Complex Systems. A total number of research publications is 40.

Author Articles
Radio Receiver with Internal Compression of Input Signals Using a Dispersive Delay Line with Bandpass Filters

By Roman Pantyeyev Felix Yanovsky Andriy Mykolushko Volodymyr Shutko

DOI: https://doi.org/10.5815/ijigsp.2023.06.01, Pub. Date: 8 Dec. 2023

This article proposes a receiving device in which arbitrary input signals are subject to pre-detector processing for the subsequent implementation of the idea of compressing broadband modulated pulses with a matched filter to increase the signal-to-noise ratio and improve resolution. For this purpose, a model of a dispersive delay line is developed based on series-connected high-frequency time delay lines with taps in the form of bandpass filters, and analysis of this model is performed as a part of the radio receiving device with chirp signal compression. The article presents the mathematical description of the processes of formation and compression of chirp signals based on their matched filtering using the developed model and proposes the block diagram of a radio receiving device using the principle of compression of received signals. The proposed model can be implemented in devices for receiving unknown signals, in particular in passive radar. It also can be used for studying signal compression processes based on linear frequency modulation in traditional radar systems.

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