Power density spectrum F(jω) to time domain input signal F(t)

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Hi there,
For this problem, I have the input signal's Power density spectrum [S(jω)] and its Standard deviation [σ] this is all the given information. I need to get the signal in time domain as [h(t)].
How can I do this either using MATLAB code or Simulink blocks?.
I would be grateful for any help, thanks in advance.

Accepted Answer

John BG
John BG on 2 Jul 2017
Hi Mahmoud
this is John BG ( jgb2012@sky.com )
May the readers of the question know the following:
1.
from
instead of getting the pavement roughness spectral density time response, wouldn't it make more sense to aim at the [x y] response after applying the vehicle signal?
2.
the above source shows pavement roughness PSD with units [m^3], the PSD of your question Sh(w) has units [cm^2*s] . Is the model of your question 1D or 2D?
3.
from
the inverse transform of the pavement roughness is a surface, not a time signal, right? so you are asking for the surface that has the PSD in the question table?
  2 Comments
mahmoud
mahmoud on 3 Jul 2017
Edited: mahmoud on 4 Jul 2017
Hi John BG
My case study is a validation of the results in this paper,
:
:
The pic. below shows the main model (quarter car model) and its mathematical equations. Also, in the right you can find the Simulink model that I made to represent this problem.
The output in interest is the acceleration of [M1] with time but, in order to get that I need the excitation force also in time domain [h(t)]
This model takes in interest the vertical motion component only of the vehicle. So, I believe that this model is 1D and so just the excitation signal is needed, not a whole surface as the other case you mentioned.
:
John BG
John BG on 4 Jul 2017
ok,
  • the road profile (the surface roughness) is the input signal
  • the car model is the channel
  • and the output is the vibration that the driver experiences
Mahmoud, there is a MATLAB file exchange contribution that you may find interesting, by James Alison
It's also quarter car model
John BG

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