Radar scan pattern analysis for reduction of false identification in electronic warfare support systems

Abstract

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. 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. 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.

Automatic antenna scan type classification for next‐generation electronic warfare receivers

“…In addition to these three features, the kurtosis value of one period of received signal is also used for the classification in [13]. Similar analysis has also been done in [14]. The variance of the amplitude of the main beams and the interval between the main beams are used in the classification given in [14].…”

“…Similar analysis has also been done in [14]. The variance of the amplitude of the main beams and the interval between the main beams are used in the classification given in [14]. In addition to these two features, variance of the difference in the time interval between the main beams is used to reduce the false decision in raster scan types because of erroneous or omitted peaks.…”

“…In addition to these two features, variance of the difference in the time interval between the main beams is used to reduce the false decision in raster scan types because of erroneous or omitted peaks. Unidentified scan types have also been introduced in the classification given in [14]. In comparison with [13], less features are used for classification but longer signal length is required to calculate the variances proposed in [14].…”

“…Unidentified scan types have also been introduced in the classification given in [14]. In comparison with [13], less features are used for classification but longer signal length is required to calculate the variances proposed in [14].…”

DOA Estimation of Unknown Emitter Signal Based on Time Reversal and Coprime Array

“…Presently, with the continuous appearance of new wireless communication and position systems, locating the emitter signal (ES) plays a more and more important role in public security, fraud detection, and intelligent transportation systems [1,2,3]. Moreover, because of the ever-increasing number of different emitters and waveforms as well as increasing data processing demands, the location technique for ES becomes more difficult than before [4,5] and very essential.…”