Random modulation

In the theories of modulation and of stochastic processes, random modulation is the creation of a new signal from two other signals by the process of quadrature amplitude modulation. In particular, the two signals are considered as being random processes. For applications, the two original signals need have a limited frequency range, and these are used to modulate a third sinusoidal carrier signal whose frequency is above the range of frequencies contained in the original signals.

Details

The random modulation procedure starts with two stochastic Baseband signal#Baseband signal, baseband signals, $x_c(t)$ and $x_s(t)$, whose frequency spectrum is non-zero only for $f \in [-B/2,B/2]$. It applies quadrature modulation to combine these with a carrier frequency $f_0$ (with $f_0 > B/2$) to form the signal $x(t)$ given by
:$x(t)=x_c(t)\cos(2 \pi f_0 t)-x_s(t)\sin(2 \pi f_0 t)= \Re \left \ ,$
where $\underline(t)$ is the Baseband signal#Equivalent baseband signal, equivalent baseband representation of the modulated signal $x(t)$
:$\underline(t)=x_c(t)+j x_s(t).$

In the following it is assumed that $x_c(t)$ and $x_s(t)$ are two real jointly Wide sense stationary#Weak or wide-sense stationarity, wide sense stationary processes. It can be shown that the new signal $x(t)$ is wide sense stationary iff, if and only if $\underline(t)$ is circular complex, i.e. if and only if $x_c(t)$ and $x_s(t)$ are such that
:$R_(\tau)=R_(\tau) \qquad \text\qquad R_(\tau)=-R_(\tau).$

Bibliography

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Statistical signal processing

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