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Conference Papers Year : 2013

Blind Free Band Detector Based on the Sparsity of the Cyclic Autocorrelation Function

Abstract

In this paper, we will firstly show that the Cyclic Autocorrelation function (CAF) is a sparse function in the cyclic frequency domain . Then using this property we propose a new CAF estimator, using Compressed Sensing (CS) technique with OMP algorithm [1]. This estimator outperforms the classic estimator used in [2]. Furthermore, since our estimator does not need any information, we claim that it is a blind estimator whereas the estimator used in [2] is clearly not blind because it needs the knowledge of the cyclic frequency. Using this new CAF estimator we proposed in the second part of this paper a new blind free bands detector. It assumes that two estimated CAF of two successive packets of samples, should have close cyclic frequencies, if a telecommunication signal is present. This new detector is a soft version of the detector already presented in [3]. This methods outperforms the cyclostationnarity detector of Dantawate Giannakis of [2]
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Dates and versions

hal-00868154 , version 1 (01-10-2013)

Identifiers

  • HAL Id : hal-00868154 , version 1

Cite

Ziad Khalaf, Jacques Palicot, Amor Nafkha, Hongfei Zhang. Blind Free Band Detector Based on the Sparsity of the Cyclic Autocorrelation Function. EUSIPCO 2013, Sep 2013, Marrakech, Morocco. ⟨hal-00868154⟩
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