Analysis of FFT Based Spectrum Detection Model using Modified Periodogram Algorithm

Journal Title: International Journal of Science and Research (IJSR) - Year 2015, Vol 4, Issue 1

Abstract

Spectrum sensing technology is one of the most common requirements needed to solve the communication problems faced in today’s wireless communication world. The modeling of proper spectrum detection method solves the problem of spectrum scarcity and also provides the means for wastage of spectrum. The detection of digital modulated signals has been carried out & verified using FFT based modified Period gram Algorithm applied for spectrum analysis. The performance of detection of digital signals & effectiveness in detection is upgraded by using spectrum analysis method. The proposed modified Periodogram algorithm based FFT approach is capable of superior in simplicity of computations which in turn used to sense the spectrum measurement in fast & precise manner so that detection of signals may be carried out without much problem in today’s communication network. The other existing techniques are satisfied for high SNR range which is not always in reality in today’s communication world. In this research paper, we have developed simulation model using Mat lab version of R-2014a by FFT based Techniques. The result of simulation indicates that it is possible to get nearly zero percentage missed detection when SNR is very low.

Authors and Affiliations

Keywords

Related Articles

Wireless Data Transfer Using Light Fidelity

There are around 1.4 million cellular mast radio waves base stations deployed, with over 5 billion mobile phones. Mobile phones transmit over 600TB of data. Presently wireless communication uses radio waves. Spectrum is...

New Report and Taxonomic Comparison of Anadara and Tegillarca Species of Arcidae (Bivalvia: Arcoidea) from Southern Coast of India

Abstract: Arcacea family is economically important group of animals. Most of the species in this family are misplaced into invalid subgenera and Indian arcids are wanted a revision in systematic positon. In the case of A...

Improved Microwave Dielectric Properties of Sm-Substituted SBTi Ceramics for Resonator Applications

Effect of composition and sintering procedure upon the structural, microstructures and microwave dielectric characteristics of Sm-substituted SBTi ceramics were investigated. SrBi4-xSmxTi4O15 (x=0.25, 0.5, 0.75 and 1) ce...

Bottom-Up Generalization: A Data Mining Solution to Privacy Protection

"In recent years, privacy-preserving data mining has been studied extensively, because of the wide proliferation of sensitive information on the internet. This paper investigates data mining as a technique for masking da...

The Determination of Minimum Bubbling Velocity, Minimum Fluidization Velocity and Fluidization Index of Fine Powders (Hematite) using Gas-Solid Tapered Beds

The Determination of Minimum Bubbling Velocity, Minimum Fluidization Velocity and Fluidization Index of Fine Powders (Hematite) using Gas-Solid Tapered Beds

Download PDF file
  • EP ID EP339575
  • DOI -
  • Views 84
  • Downloads 0

How To Cite

(2015). Analysis of FFT Based Spectrum Detection Model using Modified Periodogram Algorithm. International Journal of Science and Research (IJSR), 4(1), -. https://europub.co.uk/articles/-A-339575