Carrier Frequency Estimation with Cyclostationary Signals in Impulsive Noise
نویسندگان
چکیده
This paper addresses the estimation of carrier frequency for cyclostationary AM, BPSK, and QPSK signals in the presence of interfering signals and α-stable impulsive noise. The performance of conventional DFT algorithms suffers from severe degradation in impulsive noise environments. By fusing cyclostationarity and fractional lower-order statistics, we introduce a signal selective carrier frequency estimation algorithm for AM, BPSK, and QPSK signals. The new method exploits p th-order cyclostationarity property of signals in impulsive noise. Compared with the existing DFT algorithm, the new method is highly tolerant to interference, Gaussian and non-Gaussian impulsive noises. The performance of the new algorithm is studied using simulations in a variety of interference and noise conditions. Simulation results indicate that the proposed algorithm outperforms the conventional DFT method in impulsive noise.
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