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Journal of Applied Sciences >

2013 , Vol. 31 >Issue 4: 368 - 374

DOI: https://doi.org/10.3969/j.issn.0255-8297.2013.04.006

Signal and Information Processing

Extraction and Identification of Radar Emitter Individual Characteristics

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  • 1. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
    2. People’s Liberation Army Unit 95862, Harbin 150030, China
    3. People’s Liberation Army Unit 73613, Shanghai 201600, China

Received date: 2011-08-31

  Revised date: 2012-03-06

  Online published: 2012-03-06

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Abstract

 To solve the problem of radar emitter individual identification, we propose to use the wave shape entropy and energy entropy to extract characteristics from surrounding-line integral bispectrum estimate results,based on the 2D characteristic vector composed of the characteristics to identify radar emitter individuals.Then, to identify the 2D characteristic vector, we propose barycenter distance in analyzing the 2D characteristic vector in order to identify homologous radar emitter individuals, and compare it with the fuzzy C-mean clustering method. Computer simulation and experimental results verify the correctness and effectiveness of the proposed method in identifying radar emitter individuals at certain signal-to-noise ratio.

Key words： surrounding-line integral; wave shape entropy; energy entropy; barycenter distance method

Cite this article

CHEN Tao1, YAO Wen-yang1, LIN Jin-qiu2, HU Zhi-hua3 . Extraction and Identification of Radar Emitter Individual Characteristics[J]. Journal of Applied Sciences, 2013 , 31(4) : 368 -374 . DOI: 10.3969/j.issn.0255-8297.2013.04.006

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