A Novel Symbol Rate Estimation Algorithm for Phase Modulating Signals in Wireless Communications

Abstract:

In this paper, we proposed a new symbol rate estimation algorithm for phase shift keying (PSK) and qua drawtube amplitude modulation (QAM) signals in AWGN channel First we constructe a delay-multiplied signal, from which we obtaine the modulated information. Then we calculated the instantaneous autocorrelation of the delay-multiplied signal to pick out the phase jump. To eliminate the restriction of frequency resolution in fast Fourier transform, we performed a Chirp-Z transform to find out the exact spectral line which represente the symbol rate of the signal to be analyzed. Compared with the existing algorithms, it is a simple solution that has a better performance and accuracy in low signal-to-noise-ratio channel conditions. Simulation results show that the probability of relative estimating deviation below 0.1% reaches 100% and the average and standard variance of absolute estimation deviation are at the magnitude of 10^-2 when SNR is over 2dB.

• Periodical: Applied Mechanics and Materials (Volume 443)
• Pages: 392-396
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.443.392
• Online since: October 2013
• Authors: Peng Zhou, Chi Sheng Li
• Keywords: Chirp-Z Transform, Delay-Multiplied Signal, Instantaneous Autocorrelation, Phase Modulating Signals, Symbol Rate Estimation

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