KEYWORDS: Radar, Signal processing, Electronic support measures, Receivers, Computer simulations, Data centers, Environmental sensing, Interference (communication), Signal detection, Electronics engineering
The main objective of Electronic Support Measure (ESM) is to detect and analyze the threating radar emitters in the surrounding environment. These objectives can be obtained by receiving, measuring, and sorting the intercepted signals, respectively. In the thick of these functions, sorting is absolutely essential. In complex environment, sorting radar pulses is highly problematic, since an enormous number of pulses are received from different emitters in an interleaving form with high noise levels. Conventional sorting techniques have illustrated inefficient results, especially in the presence of modern radar signal such as agility and frequency hopping. In order to ameliorate the sorting performances, we introduce a new sorting algorithm based on similarity and hierarchical clustering techniques, and we denoted it as “Similarity method”. The Similarity method performs magnificent performances without prior knowledge about radars’ emitters, and it is aimed at tackling unconventional circumstances, (i.e. noise pulses, agility signal and hopping frequency). The Similarity method is compared with some existed method, and the simulation results proved its efficiency.
The main objective of Electronic Support Measure (ESM) system is to obtain threatening emitters by receiving, measuring, and sorting radar pulses. Through these steps, sorting radar pulses is absolutely essential to differentiate between the threatening emitters. A large number of sorting algorithms have been proposed to tackle this issue; however, most of them suffer from lack of success in such circumstances (agility signal, clutter or noise pulses, and missing pulses). In this paper, four partition clustering methods are considered for sorting radar pulses under the influence of clutter (noise) and missing pulses. Besides, the significant impact of initiation clustering upon the sorting performances is discussed. Finally, the simulation results demonstrated lucid analysis of the compared methods’ performances, and identified the most amenable algorithm for sorting radar signal.
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