Spectral correlation analysis of complex data

Joong Sun Won, Jeong Woo Kim, Kyung Duck Min

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


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
Issue number8
Publication statusPublished - 2004

Bibliographical note

Funding Information:
Acknowledgement. The work of J.-S. Won was supported by Yonsei University Research Fund of 2004. The work of J.W. Kim was supported by the National Research Lab. Project (Grant # M1-0302-00-0063) of Korea Ministry of Science and Technology. The JERS-1 SAR data were provided by JAXA to J.-S. Won (PI # 120) under ALOS Research.

All Science Journal Classification (ASJC) codes

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


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