Year-end Sale % OFF 
Abstract
Cognitive radio (CR) is a technology that provides a promising new way to improve the efficiency of the use of the electromagnetic spectrum that available. Spectrum sensing helps in the detection of spectrum holes (unused channels of the band), and instantly move into vacant channels while avoiding occupied ones. An energy detector with baseband sampling for CR is presented with mathematical analyses for an additive white Gaussian noise (AWGN) channels. A brief overview of the energy detection based spectrum sensing for CR technology is introduced. Practical implementation issues on Texas Instruments TMS320C6713 floating point DSP board are presented. Novelties of this work came from a derivation of probability of detection and probability of false alarm for the baseband energy detector without including the sampling theorems and the associated approximation.
Highlights
The limited available spectrum and inefficiency in the use of the spectrum makes it necessary to establish the new communication model to benefit from the existing wireless spectrum professionally.Mitola proposed a solution to the spectrum efficiency problem [1], where higher spectrum efficiency can be reached by dynamic spectrum access [2,3]
The detection is performed on the basis of a Constant False Alarm Rate (CFAR) i.e. The NP technique provides a threshold for detection subject to a constant Pfa
In [20], in order to solve both the interference avoidance and the spectrum efficiency problem, an optimal spectrum sensing framework is based on the maximum a posteriori probability (MAP) energy detection and its decision criterion based on the primary user activities
Summary
The limited available spectrum and inefficiency in the use of the spectrum makes it necessary to establish the new communication model to benefit from the existing wireless spectrum professionally. In [5], the matched filter referred to as coherent detector, it can improve detection performance if the primary transmitted signal is deterministic and known a priori. This technique can be applied only when we choose to detect specific signals, and it is very accurate since it maximizes the SNR for the signal. The TMS320C6713 kit was chosen as it provides a properly low cost access into the real-time implementation of energy detection algorithms This DSP card has the following features: It evaluates 1350 million floating point operations per second (MIPS), a processor running at 225 MHz, programmed by C and assembly languages.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
