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