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| A Blind Symbol Rate Estimation of Weak Signal Based on Cyclic Spectrum and Wavelet Transform |
| Yajun Liang, Yuancheng Yao, Tao Dai, Mingwei Qin |
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Abstract In the paper, we propose a new blind symbol rate estimation of weak
signal with fixed sampling rate based on cyclic spectrum and wavelet
transform. Firstly, the FFT characteristics is used to estimate the
carrier frequency and the received signal is moved to the baseband
by Digital Down Converter (DDC). Then, the wavelet transform is used
for pre-estimating the symbol rate. Thirdly, the symbol rate
estimation is proposed on the basis of cyclostationary theory and
pre-estimated symbol rate. Simulation results verified the
correctness of this method with MPSK signal. When the Signal to
Noise Ratio (SNR) is $-$10 db, the approach proposed in this paper
can accurately estimate the varied symbol rate with fixed sampling
rate.
DOI: 10.12733/jics20101734
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