Autocorrelation based spectrum sensing technique for cognitive radio application

Abstract

A spectrum sensing technique based on the detection of the audio FM and wireless microphone signals in the TV band is proposed. Our method autocorrelates the signal that enables a formulation of the new decision making index in terms of a ratio A_r. Thereby an algorithmic interpretation with A_r as an index, one identifies the white space. This method reduces the probability of false alarm and mitigates the disadvantages of other spectrum sensing techniques.