Simulation and Analysis of SNR Estimation Algorithm Based on Observation Vector Covariance Matrix

Fang Wang; Xu He

doi:10.4028/www.scientific.net/AMR.403-408.2168

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 403-408Simulation and Analysis of SNR Estimation...

Simulation and Analysis of SNR Estimation Algorithm Based on Observation Vector Covariance Matrix

Abstract:

AFH (adaptive frequency hopping) is the key technology of modern military tactics anti-interference, and channel quality evaluation is the core technology of AFH system. This paper describes the SNR estimation algorithm based on observation vector covariance matrix, and analyzes the mean and MMSE (minimum mean square error) of the SNR estimation algorithm based on autocorrelation and covariance matrix in the condition of AWGN and Rayleigh fading channels. The result shows that the SNR estimation algorithm based on covariance matrix has a smaller estimation error and more timely, which can be applied by AFH communication system.

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Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

2168-2171

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.403-408.2168

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Online since:

November 2011

Authors:

Fang Wang, Xu He

Keywords:

Covariance Matrix, Eigenvalue Decomposition, SNR Estimation

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References

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