A Correlation Coefficient Estimation Algorithm Based on Subspace Decomposition

Na Wu; Wei Jian Si; Shu Hong Jiao

doi:10.4028/www.scientific.net/AMR.989-994.1883

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994A Correlation Coefficient Estimation Algorithm...

A Correlation Coefficient Estimation Algorithm Based on Subspace Decomposition

Abstract:

the correlation coefficient estimation algorithm based on subspace decomposition is presented in this paper. The correlation coefficient between the signals is obtained by getting eigen-value decomposition of the data covariance matrix, and deriving the relationship between signal subspace and noise subspace. Simulation results verify that this algorithm can be realized to get the correlation coefficient between two incident signals whose DOA are known and the effect of the correlation coefficient estimation is made by different signal direction angular intervals.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

1883-1886

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.1883

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Online since:

July 2014

Authors:

Na Wu*, Wei Jian Si, Shu Hong Jiao

Keywords:

Correlation Coefficient Estimation, Music Algorithm, Subspace Decomposition

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