Neural Network Approach to Pisarenko’s Frequency Estimation
This paper proposes a neural network approach for computing in real-time the required eigenvector in Pisarenko’s frequency estimation method. We will show both analytically and by simulations that this neural network approach has some advantages over the available neural network methods and is more suitable for real-time applications of Pisarenko’s frequency estimation method.
KeywordsNeural Network Covariance Matrix Frequency Estimation Neural Network Approach Minimum Eigenvalue
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- Z. Banjanian, J.R. Cruz and D.S. Zrnic, “Eigen-decomposition methods for frequency estimation: A unified approach,” Proc. of ICASSP’90, pp.2595–2598.Google Scholar