Radar sorting performances from a partition clustering perspective

Mohaned Giess Shokrallah Ahmed; Bin Tang

doi:10.1117/12.2244922

29 August 2016 Radar sorting performances from a partition clustering perspective

Mohaned Giess Shokrallah Ahmed, Bin Tang

Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100335B (2016) https://doi.org/10.1117/12.2244922
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

Abstract

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.

Citation Download Citation

Mohaned Giess Shokrallah Ahmed and Bin Tang "Radar sorting performances from a partition clustering perspective", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100335B (29 August 2016); https://doi.org/10.1117/12.2244922

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