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Radar Position Estimation by Sequential Irradiation of ESM Receivers.
Hubácek, Petr; Veselý, Jirí; Olivová, Jana.
Affiliation
  • Hubácek P; Department of Communication Technologies, Electronic Warfare and Radars, University of Defence in Brno, 66210 Brno, Czech Republic.
  • Veselý J; Department of Communication Technologies, Electronic Warfare and Radars, University of Defence in Brno, 66210 Brno, Czech Republic.
  • Olivová J; Department of Communication Technologies, Electronic Warfare and Radars, University of Defence in Brno, 66210 Brno, Czech Republic.
Sensors (Basel) ; 21(13)2021 Jun 28.
Article in En | MEDLINE | ID: mdl-34203445
ABSTRACT
In this article, a new technique for determination of 2D signal source (target) position is proposed. This novel approach, called the Inscribed Angle (InA), is based on measuring the time difference of sequential irradiation by the main beam of the target antenna's radiation pattern, using Electronic Support Measures (ESM) receivers, assuming that the target antenna is rotating and that its angular velocity is constant. In addition, it is also assumed that the localization system operates in a LOS (Line of Sight) situation and that three time-synchronized sensors are placed arbitrarily across the area. The main contribution of the article is a complete description of the proposed localization method. That is, this paper demonstrates a geometric representation and an InA localization technique model. Analysis of the method's accuracy is also demonstrated. The time of irradiation of the receiving station corresponds to the direction in which the maximum received signal strength (RSS) was measured. In order to achieve a certain degree of accuracy of the proposed positioning technique, a method was derived to increase the accuracy of the irradiation time estimation. Finally, extensive simulation was conducted to demonstrate the performance and accuracy of our positioning method.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sensors (Basel) Year: 2021 Document type: Article Affiliation country: Czech Republic

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sensors (Basel) Year: 2021 Document type: Article Affiliation country: Czech Republic