A combined spectrum sensing method based DCT for cognitive radio system

Abstract

In this paper a new hybrid blind spectrum sensing method is proposed. The method is designed to enhance the detection performance of Conventional Energy Detector (CED) through combining it with a proposed sensing module based on Discrete Cosine Transform (DCT) coefficient’s relationship as operation mode at low Signal to Noise Ratio (SNR) values. In the proposed sensing module a certain factor called Average Ratio (AR) represent the ratio of energy in DCT coefficients is utilized to identify the presence of the Primary User (PU) signal. The simulation results show that the proposed method improves PU detection especially at low SNR values.

Compressive sensing based on novel chaotic matrix for cognitive radio

“…By using CR, these opportunities can be utilized in the spectrum such as in TV band and 4G cellular networks to overcome the spectrum problem and optimize resources usage. In this framework, cognitive users, called secondary users (SUs), can recognize the spectrum holes and use them to communicate among themselves without causing interference to the licensed users, called PUs 3,4 . Several spectrum sensing techniques have been proposed to dynamically detect unused spectrum channels in a band of interest 5,6 .…”

DWT Based Energy Detection Spectrum Sensing Method for Cognitive Radio System

“…Spectrum sensing (SS) is the process which detect the presence of PU achieved by SU transceiver in order to utilize PU allocated spectrum. This allocated spectrum is called "hole" or "white space" The SS most be enough accurate to avoid PU interference [1], [2]. In literature the basic SS approaches are: Matched Filter (MF) , Cyclostationary and Energy Detection (ED).…”