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Research Paper | Electronics & Communication Engineering | India | Volume 4 Issue 1, January 2015 | Popularity: 6.8 / 10

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Analysis of FFT Based Spectrum Detection Model using Modified Periodogram Algorithm

C. Basavaraju, Dr. Chandrakanth.H.G

Abstract: Spectrum sensing technology is one of the most common requirements needed to solve the communication problems faced in todays 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 todays communication network. The other existing techniques are satisfied for high SNR range which is not always in reality in todays 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.

Keywords: Fast Fourier Transform FFT, Power Spectral Density PSD, Signal to Noise Ratio SNR, Total Harmonic Distortion THD, Modified Periodogram Algorithm

Edition: Volume 4 Issue 1, January 2015

Pages: 730 - 734

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