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A novel signal-to-noise ratio (SNR) estimation algorithm for QAM signals in the additive Gaussian white noise channel (AWGN) is presented. Considering the real and imaginary components (I/Q) of QAM signals respectively, a new SNR estimator based on signal envelop is derived. The performance of our estimator is analyzed and compared with the other estimation methods. The simulation results show that...
In allusion to the property of transient state on the border of adjacent different symbols for digital modulated signals, a new symbol rate estimation algorithm based on wavelet transform (WT) for digital modulation signals mixed linearly is proposed. In this algorithm, we utilize WT and twice WT to multi-channel linearly mixed signals after frequency conversion, respectively, and detect the jump...
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