Have the stochastic following process f(t) been studied in mathematics ? It is stationary, Gaussian, f(t) - complex independent Gaussians N(0,1). The autocorrelation is given by the zeroth-order Bessel function of the first kind: $J_{0} (\tau)$.

In radio wave propagation it is called Rayleigh fading or sometimes Jakes fading model. And it is often used in signal processing. So I wonder that it might be some studies of this process in mathematics, which might give me some new point of view on it.

In particular I hope for the following. There should be some natural and mathematically clearly formulated reason (model) which will lead to Bessel function auto-correlation. In signal processing this is said as "radio wave amplitudes" autocorrelate with Bessel function. But can we avoid "radio waves" ? Can we just formulate some simple mathematical model from which we can derive this autocorrelation from something like a central limit theorem or some other mathematically clear reason. I think this should be known, but I am not expert in the field.

Have the following stochastic process $f(t)$ been studied in mathematics ? It is stationary, Gaussian, $f(t)-$complex independent Gaussians $N(0,1)$. The autocorrelation is given by the zero-order Bessel function of the first kind: $J_{0} (\tau)$.

In radio wave propagation it is called Rayleigh fading or sometimes Jakes fading model. And it is often used in signal processing. So I wonder that it might be some studies of this process in mathematics, which might give me some new point of view on it.

In particular I hope for the following: There should be some natural and mathematically clearly formulated reason (model) which will lead to Bessel function auto-correlation. In signal processing this is known as "radio wave amplitudes" autocorrelate with Bessel function. But can we avoid "radio waves" ? Can we just formulate some simple mathematical model from which we can derive this autocorrelation from something like a central limit theorem or some other clear mathematical reason. I think this should be known, but I am not expert in the field.

Have the stochastic following process f(t) been studied in mathematics ? It is stationary, Gaussian, f(t) - complex independent Gaussians N(0,1). The autocorrelation is given by the zeroth-order Bessel function of the first kind: $J_{0} (\tau)$.

In radio wave propagation it is called Rayleigh fading or sometimes Jakes fading model. And it is often used in signal processing. So I wonder that it might be some studies of this process in mathematics, which might give me some new point of view on it.

Have the stochastic following process f(t) been studied in mathematics ? It is stationary, Gaussian, f(t) - complex independent Gaussians N(0,1). The autocorrelation is given by the zeroth-order Bessel function of the first kind: $J_{0} (\tau)$.

In radio wave propagation it is called Rayleigh fading or sometimes Jakes fading model. And it is often used in signal processing. So I wonder that it might be some studies of this process in mathematics, which might give me some new point of view on it.

In particular I hope for the following. There should be some natural and mathematically clearly formulated reason (model) which will lead to Bessel function auto-correlation. In signal processing this is said as "radio wave amplitudes" autocorrelate with Bessel function. But can we avoid "radio waves" ? Can we just formulate some simple mathematical model from which we can derive this autocorrelation from something like a central limit theorem or some other mathematically clear reason. I think this should be known, but I am not expert in the field.