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Applying the frechet distance to the specific emitter identification

Authors: Peibo Chen; Gang Li; Ke Xu; Jianwei Wan;

Applying the frechet distance to the specific emitter identification

Abstract

Nowadays, much attention in electronic warfare is paid to the Specific Emitter Identification (SEI), which seems to be one of the most difficult subjects in the field. The principal function of the SEI is recognizing the different radar devices of the same type. In most cases, classical methods of identification could not be enough to realize the task. The main unique characteristics of a modern radar emitter are hidden in the structures of the time-domain waveforms, especially the pulse envelope and instantaneous frequency, which are used as the fingerprint features in this paper. In order to measure the distinctions among different radar emitters of the same type, the frechet distance which provides an effective way to calculate the distance between curves, the pulse envelopes or instantaneous frequencies, is chosen to achieve the SEI. The basic theory of the frechet distance is described and the experimental results are presented in the paper.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Top 10%
Average
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