Hybrid Matched Filter Detection Spectrum Sensing

The radio frequency spectrum is getting more congested day by due to the growth of wireless devices, applications, and arrival fifth generation (5G) mobile communications. This happens because a natural resource that has restricted existence. Access all devices can be granted, but in efficient way. To resolve issue, cognitive technology come out as way, it possible sense neighboring. Spectrum sensing been recognized an important technology, networks, allow secondary users (SUs) detect holes opportunistically access primary licensed band without harmful interference. paper considers Energy Detection (ED) Matched Filter (MFD) techniques baseline for study where so-called Hybrid (Hybrid MFD) was proposed. Apart from analytical approach, Monte Carlo simulations have performed MATLAB. These aimed at understanding how variation parameters like probability false alarm, signal-to-noise ratio (SNR) number samples, affect miss-detection. Simulation results show i) higher miss-detection achieved ED technique when compared MFD techniques; ii) More importantly, proposed outperforms terms ability presence user spectrum, alarm slightly lower than 0.5, low samples ratio.