Approximation for RMS

Approximation for SQRT( I2 + Q2 ) with Gaussian Noise Present

When a complex signal is represented in terms of in-phase (I) and quadrature-phase (Q) components, a commonly used approximation for the signal root-mean-square (RMS) value is

Assuming a large number of OFDM subcarriers in the intended application, I and Q appear to both be Gaussian thereby making r a Rayleigh-distributed random variable where

We are interested in the ratio

From symmetry, it suffices to consider a limited range for θ as π/4 . Letting

leads to


where γ = 0.375. It is worthwhile evaluating just how good this choice for γ really is. We seek then to minimize the mean-square error given by

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This entry was posted in Digital Signal Processing, Mathematics.

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