Skip to main content

Spectral correlation analysis of complex data

Buy Article:

$28.45 plus tax (Refund Policy)


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.

Document Type: Research Article


Affiliations: 1: Department of Earth System Sciences, Yonsei University, 134 Shinchon-dong, Seodaemun-gu, Seoul, 120–749, Korea 2: Department of Geoinformation Engineering, Sejong University, 98 Gunja-dong, Gwangjin-gu, Seoul, 143-747, Korea

Publication date: October 1, 2004

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more