Spectral correlation analysis of complex data

Joong Sun Won, Jeong Woo Kim, Kyung Duck Min

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Phase information of a coherent signal is recorded and preserved as complex data. Although Fourier spectrum has long been proven to be effective, it is sometimes difficult to properly estimate phase information from severely corrupted signals. We present and define two useful parameters: spectral correlation coefficient (SCC) and spectral covariance to mean power ratio (SCR). A simulation test was carried out using a random Gaussian phase noise. The SCC and SCR decrease linearly with extremely low gradients as the noise level increase, and especially the SCC maintains high values larger than 0.9 up to 80% noise corrupted signals. We applied the SCC method to a radar interferometric phase, and demonstrated that it was effective even for severely corrupted signals by noises.

Original languageEnglish
Pages (from-to)375-379
Number of pages5
JournalOptik
Volume115
Issue number8
DOIs
Publication statusPublished - 2004 Jan 1

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spectral correlation
Thyristors
correlation coefficients
silicon controlled rectifiers
Phase noise
Radar
radar
gradients
estimates
simulation

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering

Cite this

Won, Joong Sun ; Kim, Jeong Woo ; Min, Kyung Duck. / Spectral correlation analysis of complex data. In: Optik. 2004 ; Vol. 115, No. 8. pp. 375-379.
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Spectral correlation analysis of complex data. / Won, Joong Sun; Kim, Jeong Woo; Min, Kyung Duck.

In: Optik, Vol. 115, No. 8, 01.01.2004, p. 375-379.

Research output: Contribution to journalArticle

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