Wideband spectrum sensing based on energy detection for Cognitive Radio network
Sesham Srinu, Samrat Lagnajeet Sabat, Siba Kumar Udgata · 2011
Spectrum sensing is an essential concept in Cognitive Radio (CR) systems. It exploits the inefficient utilization of radio frequency spectrum without causing destructive interference to the licensed/primary user communication. In recent past, most of the studies on spectrum sensing are focused on cooperative/multinode detection approaches. However, they are confined to the detection of signals in a single frequency band or narrow band. In order to improve the opportunistic throughput, the CR must sense the signals in multiple bands or wideband. This paper presents a wideband spectrum sensing technique based on energy measurement in each sub band. The simulation result shows that the wideband sensing algorithm detects primary user (PU) signal upto -8dB average SNR with sample size 256, for 8 nodes in cooperation. It is able to detect only upto 0dB average SNR for singe node detection with sample size 64 with detection probabilty Pd≥ 0.9, and false alarm probability Pf≤ 0.01. We have also implemented the wideband spectrum sensing in Xilinx Virtex-4 (XC4VSX35-FFG668-10) Field programmable Gate Arrays.