شماره ركورد كنفرانس :
3241
عنوان مقاله :
Blind Estimation of Frequency Features from Telecommunication Signals Using Modified Time Smoothing Algorithm
پديدآورندگان :
Khoshkhoo Milad Department of Electrical Engineering - Malek Ashtar University of Technology, Tehran , khaleghi Bizaki Hosein Department of Electrical Engineering - Malek Ashtar University of Technology, Tehran , khaniki Ali Department of Electrical Engineering - Malek Ashtar University of Technology, Tehran
كليدواژه :
Fourier Accumulation Method , Strip Spectral Correlation Algorithm , carrier frequency , Cyclostationary
عنوان كنفرانس :
سومين كنفرانس مهندسي مخابرات ايران
چكيده لاتين :
Cyclostationary Feature Detection has the ability to separate the signal or interest from noise and /or interference, but the computational complexity of cyclic Spectral analysis limits its use as a signal analysis tool. To reduce the computational complexity of cyclic Spectral analysis, this paper proposes Strip Spectral Correlation Algorithm (SSCA) to estimate carrier frequency and symbol rate. The simulation results show that the estimation values are still accurate when the SNR is low.
