On estimating the signal to noise ratio from BPSK signals

Signal-to-noise ratio is an important parameter in many receivers. In this contribution, we derive a fixed-point equation whose solution coincides with the maximum-likelihood (ML) estimate of the amplitude of a binary phase-shift keying modulated signal and the variance of the additive white Gaussian noise. The resulting fixed-point equation is efficiently solved in a few iterations.