Joint signal detection and classification of mobile WiMAX and LTE OFDM signals for cognitive radio

Spectrum awareness is one of the most challenging tasks in cognitive radio (CR). To adequately adapt to the changing radio environment, it is necessary for the CR to be able to perform joint detection and classification of low signal-to-noise ratio (SNR) signals without requiring much a priori information on the signal parameters. In this paper, we propose a joint detection and classification algorithm for the mobile Worldwide Interoperability for Microwave Access (WiMAX) and Long Term Evolution (LTE) signals. The algorithm has the advantage that it requires relaxed information on the signal parameters. Simulation results are presented, which show the efficiency of the proposed algorithm under diverse scenarios.