Performance Analysis of Correlated Multiple Antenna Spectrum Sensing Cognitive Radio

Abstract

We derive probability of detection P d and false alarm P f for spectrum sensing cognitive devices, employing correlated multiple antenna elements using linear test statistic. Detection performance of such sensors is severely degraded due to the correlation among antennas, in addition to that fading channel conditions may further deteriorate the performance. We propose a simple hard decision fusion strategy at the secondary Base Station to improve the performance by exploiting collaborative gain. Region of Convergence (ROC) is also evaluated under OR based fusion strategy. Numerical results certify the proposed proposal.

Enhancement of spectrum sensing technique with energy harvesting for cognitive radio network

“…The radio frequency signal strength (RFSS) is defined as the transmitter power output received by a reference antenna at a distance from the transmitting antenna. Therefore, the instantaneous strength of the received signal ′𝛾′ in this work is given by [27] as; 𝛾 = 𝑃 𝑡 𝐻 𝑊 (17) where: 𝑃 𝑡 is the PU transmit power, 𝑊 is the noise present, 𝐻 is the channel gain Using MRC, the signal strength for the enhanced technique '𝛾 𝑀𝑅𝐶 ' is given as;…”

Implementation of Cooperative Spectrum Sensing Algorithm using Raspberry Pi

“…Additionally, multiple antenna based sensing nodes can also produce improvement in detection performance [10][11][12]. Cooperative algorithms can be distributed into three categories i.e.…”