Identification of IEEE 802.11g and IEEE 802.15.4 signals using energy and cyclostationarity detection approach

The industrial, scientific and medical band is widely used by different wireless systems. The identification of other wireless technologies in the common environment is one of the keys for correct system coexistence. In this work, a sensing platform for the detection of IEEE 802.11g and IEEE 802.15.4 primary signals in the 2.4 GHz band is proposed. The sensing platform makes use of a combined scheme between energy detection and cyclostationarity-based methods for better accuracy. A universal software radio peripheral equipment is used for the acquisition of RF signals. Meanwhile, the signal processing and detection methods are performed in software domain by means of LabVIEW. Experimental testes are developed for evaluating the proposed platform and algorithms. The reliability rate and correct classification of the signals are the chosen parameters for evaluation of the proposal. The results show the optimal threshold for achieving an adequate reliability rate.