Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/75345
Title: Phased-locked signal detection system based on parallel optimal receivers by average risk criterion
Authors: Dolmatov, D. A.
Abdullin, R. R.
Sokolov, R. I.
Issue Date: 2018
Publisher: Institute of Physics Publishing
Citation: Dolmatov D. A. Phased-locked signal detection system based on parallel optimal receivers by average risk criterion / D. A. Dolmatov, R. R. Abdullin, R. I. Sokolov // IOP Conference Series: Materials Science and Engineering. — 2018. — Vol. 321. — Iss. 1. — 12001.
Abstract: This paper is devoted to the investigation of a developed sync system which is based on optimal receiver by average risk minimum criterion when detecting the reflected radar impulse under conditions of Gaussian and Johnson noises. M-sequence with single pulse phase-shift keying has been chosen as a reference signal. A transceiver has been implemented during the digital experiment. The use of developed self-Tuning system allows applying the optimal methods of reflected radar signal detection when it is noncoherently received under conditions of Gaussian and non-Gaussian noises. It has been proved that the developed sync system has the signal detection quality advantage over the system based on matched filter. © Published under licence by IOP Publishing Ltd.
Keywords: GAUSSIAN DISTRIBUTION
GAUSSIAN NOISE (ELECTRONIC)
MATCHED FILTERS
SIGNAL RECEIVERS
TRACKING RADAR
TUNING
AVERAGE RISK
JOHNSON NOISE
NON-GAUSSIAN NOISE
OPTIMAL METHODS
OPTIMAL RECEIVER
RADAR SIGNAL DETECTIONS
REFERENCE SIGNALS
SELF-TUNING SYSTEMS
SIGNAL DETECTION
URI: http://elar.urfu.ru/handle/10995/75345
Access: info:eu-repo/semantics/openAccess
cc-by
gold
Conference name: 2017 5th IEEE Radio and Antenna Days of the Indian Ocean, IEEE RADIO 2017
Conference date: 25 September 2017 through 28 September 2017
RSCI ID: 35520269
SCOPUS ID: 85045669672
PURE ID: 7145872
ISSN: 1757-8981
DOI: 10.1088/1757-899X/321/1/012001
Sponsorship: The work was supported by Act 211 Government of the Russian Federation, contract № 02.A03.21.0006.
The research was executed by the grant of the Ministry of education and science of the Russian Federation (project № 8.2538.2017/4.6).
IEEE APS
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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