Abstract
The performance of ESPRIT (Estimated Signal Parameters via Rotational Invariance Technique) algorithm about frequency estimation is obviously declined, when the SNR of signal is relatively low. Aiming at this problem, an improved ESPRIT algorithm is presented. The algorithm is based on spectrum interception of noise suppression, and can narrow the selection area of β in the improved ESPRIT algorithm based on rotational transformation of autocorrelation matrix, using γ local maximum point of DFT spectrum. The algorithm not only reduces the computational complexity, but also weakens the impact of noise on frequency estimation of signal. Theoretical analysis and simulation results verify the effectiveness and feasibility of the proposed algorithm.
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© 2013 Springer-Verlag Berlin Heidelberg
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Lv, J., Sun, W., Li, T. (2013). A New Algorithm of Frequency Estimation for Frequency-Hopping Signal. In: Huang, DS., Jo, KH., Zhou, YQ., Han, K. (eds) Intelligent Computing Theories and Technology. ICIC 2013. Lecture Notes in Computer Science(), vol 7996. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39482-9_47
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DOI: https://doi.org/10.1007/978-3-642-39482-9_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39481-2
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