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Industrial Automatic Control Systems and Controllers

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Spread Spectrum Signal Detection Based on Autoregressive Model
Nikiforov A.A. Melnikov A.O. Tokarev S.V.

This paper presents a method of detecting spread spectrum signal using autoregressive (AR) model. The developed algorithm enables the estimation of the frequency of the harmonic signal without search for code phase and signal frequency, as is done in most modern solutions. To optimize the algorithm estimate the parameters of AR model exploits fast Fourier transform procedure. The article provides detailed scheme description of the algorithm and simulation results.

Keywords: signal detection; autoregressive model; power spectral density; spread spectrum signals; GPS signal.

Contacts: E-mail: nikiforov.alex@rf-lab.org

Pp. 51-54.

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