Blind Energy-based Detection for Spatial Spectrum Sensing
作者： Chang Liu , Ming Li , Ming-Lu Jin
关键词: Telecommunications 、 Wireless 、 Noise 、 Wireless sensor network 、 Energy (signal processing) 、 Algorithm 、 Computational complexity theory 、 Signal-to-noise ratio 、 Noise power 、 Antenna (radio) 、 Computer science
摘要: Conventional energy detection (ED) spectrum sensing method requires the knowledge of noise power and consequently suffers from uncertainty. In this letter we propose a novel blind spatial to conquer problem. We utilize an Electronically Steerable Parasitic Antenna Receptor (ESPAR) which can divide space into several sectors switch receive beampattern each sector in time-division fashion. The difference received signal energies among heavily depends on presence/absence primary user (PU) signal. Motivated by fact, introduce energy-based algorithm using ratio maximum-minimum (MMEN). MMEN overcome uncertainty problem achieve higher accuracy performance with lower computational complexity. Theoretical analysis proposed is also provided. Simulation results are presented verify efficiency algorithm.
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