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Proceedings Paper

A similarity method for sorting radar signal
Author(s): Mohaned Giess Shokrallah Ahmed; Xiong Ying; Wang Jun; Bin Tang
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Paper Abstract

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.

Paper Details

Date Published: 29 August 2016
PDF: 5 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 1003357 (29 August 2016); doi: 10.1117/12.2244926
Show Author Affiliations
Mohaned Giess Shokrallah Ahmed, Univ. of Electronic Science and Technology of China (China)
Xiong Ying, Univ. of Electronic Science and Technology of China (China)
Wang Jun, Univ. of Electronic Science and Technology of China (China)
Bin Tang, Univ. of Electronic Science and Technology of China (China)


Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

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