Teager-Kaiser energy detector for narrowband wireless microphone spectrum sensing

In this paper, the wireless microphone sensing is addressed for a TV white space communication and we aim to achieve an efficient semi-blind detection of narrowband FM modulation signals. To this end, the proposed solution is to use the Teager-Kaiser energy operator which takes into account the non-linear model of speech. Then, a filterbank based technique splits the analysis of the wideband signal into subbands in order to increase the accuracy of the algorithms. Simulation results show that a 4 dB detection gain could be achieved by the Teager-Kaiser energy detector compared to the energy detector. The subbands decomposition leads to a further 4 dB improvement. Experimental measurements allow a realistic validation of the proposed solutions.