Autocorrelation based spectrum sensing technique for cognitive radio application

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 Ar. Thereby an algorithmic interpretation with Ar 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.