Frequency Estimation of Continuous Signals whith Sub-Nyquist Sampling, through its Maximum Singular Value
Keywords:
Autocorrelation, Awgn, Sampling frequency, Sub-Nyquist, Singular Values, Cognitive Radio, SpectrumAbstract
In Cognitive Radio (CR) systems seeks to make an efficient use of radio resources, therefore the Spectrum Sensing (SS) is a critical function, since of the SS function depends that the CR system has an adequate knowledge of the spectral bands sub used. Traditional methods of SS, presents major implementation challenges because they require high sampling rates above the Nyquist rate, doing that the number of samples to be processed is high. To address this problem, in this paper a method for estimating the center frequency of continuous signals is presented, The signal is acquired at lower frequencies established by Nyquist sampling theorem. With the obtained data autocorrelation matrix is calculated, then the singular values of this matrix are obtained and compared with preset values, from these values, the center frequency of the signal is estimated.
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