Presentation 2010-01-28
Super-resolution radar pulse compression algorithm based on ICA
Yuta HANASHIRO, Shouhei KIDERA, Tetsuo KIRIMOTO,
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Abstract(in English) The ICA(Independent Component Analysis) using the statistical independence of the multiple source signals offers a promising solution for a blind source separation. It has been reported that this technique is applicable to the separation of the detemination signals such as sinusoidal waves with different frequencies. This paper proposes a novel pulse compression algorithm based on the multiple sinusoidal waves separation, which corresponds to the range discrimination of the strongly interfered radar pulses. The result of numerical simulation proves that the proposed method achieves a higher range resolution than that of the conventional techniques, including FFT - MUSIC algorithm, especially for lower SNR situations.
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Keyword(in English) Radar signal processing / ICA / Sinusoidal wave separation / Super-resolution pulse compression / FFT-MUSIC
Paper # SANE2009-147
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Committee SANE
Conference Date 2010/1/21(1days)
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Registration To Space, Aeronautical and Navigational Electronics (SANE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Super-resolution radar pulse compression algorithm based on ICA
Sub Title (in English)
Keyword(1) Radar signal processing
Keyword(2) ICA
Keyword(3) Sinusoidal wave separation
Keyword(4) Super-resolution pulse compression
Keyword(5) FFT-MUSIC
1st Author's Name Yuta HANASHIRO
1st Author's Affiliation Graduate School of Electro-Communications, University of Electro-Communications()
2nd Author's Name Shouhei KIDERA
2nd Author's Affiliation Graduate School of Electro-Communications, University of Electro-Communications
3rd Author's Name Tetsuo KIRIMOTO
3rd Author's Affiliation Graduate School of Electro-Communications, University of Electro-Communications
Date 2010-01-28
Paper # SANE2009-147
Volume (vol) vol.109
Number (no) 397
Page pp.pp.-
#Pages 6
Date of Issue