Implementation of AAS for Cognitive Radio Spectrum Sensing using Truncation multiplier
Cognitive Radio (CR) is a wireless networking device that has the potential to increase the system bandwidth of a network. Because white space or momentarily idle bandwidth is being used to improve device power, spectrum sensing is an essential activity in the perception cycle. This spectrum sensing helps Cognitive Radio users adapt to their surroundings by detecting white/vacant spaces despite interfering with primary user contact. Modern spectrum sensing filters such as Finite Impulse Response (FIR) filters and median filters achieve high region usage in Cognitive Radio. To counter this, an Adaptive Absolute Score (AAS) detection method based on the FIR is being developed to enhance the sensing function and radio susceptibility. The efficiency of AAS in terms of area and bandwidth is enhanced by using truncation multiplier at FIR filter design. The proposed architecture using truncation multiplier is developed in XILINX tool. Using the csg324 package, the code is downloaded onto the Spartan 6 family's xc6slx16 device. The board was a DIGILENT NEXYS 3.
Keywords: Cognitive Radio; Spectrum sensing; FIR; Spartan 6; XILINX tool.