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Data from Y.H. Kim et al Provide New Insights into Pattern Analysis (Radar scan pattern analysis for reduction of false identification in electronic...

September 12, 2014



Data from Y.H. Kim et al Provide New Insights into Pattern Analysis (Radar scan pattern analysis for reduction of false identification in electronic warfare support systems)

By a News Reporter-Staff News Editor at Science Letter -- Investigators publish new report on Pattern Analysis. According to news reporting originating in Taejon, South Korea, by NewsRx journalists, research stated, "In a recent electronic warfare (EW), electronic support (ES) systems suffer from the ambiguity problem that multiple radar types are reported instead of picking out the specific one. Hence, a radar scan pattern has been utilised as an important feature to improve the accuracy of threat identification."

The news reporters obtained a quote from the research, "However, since false identifications cause immediate danger to friendly forces, the probability of false identification should be reduced as well as the increase in identification accuracy. To cope with this necessity, a new decision category entitled 'unidentified' is introduced based on the variance of the difference in peak-to-peak intervals. Firstly, the successive received signal strength is modelled for a given scan pattern, and then the effects of the position and movement of an ES receiver onto the identification accuracy are examined to analyse the tendency of false identifications. Simulations are included to confirm the effect of the proposed new feature parameter."

According to the news reporters, the research concluded: "By introducing the new parameter, on average 82% of the false identifications are classified into the new decision category instead of incorrectly being classified as a radar scan, whereas only 4% of the correct identifications as a raster scan are classified into the new category."

For more information on this research see: Radar scan pattern analysis for reduction of false identification in electronic warfare support systems. IET Radar Sonar and Navigation, 2014;8(7):719-728. IET Radar Sonar and Navigation can be contacted at: Inst Engineering Technology-Iet, Michael Faraday House Six Hills Way Stevenage, Hertford SG1 2AY, England (see also Pattern Analysis).

Our news correspondents report that additional information may be obtained by contacting Y.H. Kim, Agcy Def Dev, C2 IW R&D Inst 2, Taejon 305152, South Korea. Additional authors for this research include K.H. Song, J.W. Han and H.N. Kim.

Keywords for this news article include: Taejon, South Korea, Asia, Emerging Technologies, Machine Learning, Pattern Analysis

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC


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Source: Science Letter


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