Modelling a short square-wave pulse with Telegrapher's Equation

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SUMMARY

This discussion focuses on modeling a short square-wave pulse in a coaxial cable using the Telegrapher's Equation. The user employs a Fourier approximation to analyze the voltage component of the pulse, specifically utilizing the Fourier Coefficient [b_n] to determine frequency-dependent characteristics. The conversation highlights the impact of resistive terms on pulse propagation, emphasizing the need for a Dirichlet approach to solve the initial equation. Additionally, insights are provided on dispersion relations and the effects of damping on signal decay along the transmission line.

PREREQUISITES
  • Understanding of Telegrapher's Equation and its components
  • Familiarity with Fourier series and Fourier coefficients
  • Knowledge of coaxial cable properties and signal propagation
  • Experience with Mathematica for numerical analysis
NEXT STEPS
  • Explore the Dirichlet approach for solving boundary value problems in wave equations
  • Investigate dispersion relations in transmission lines, focusing on resistive effects
  • Learn about weak damping analysis and its implications on signal propagation
  • Review the compact approximate solutions for transmission lines provided in relevant literature
USEFUL FOR

Electrical engineers, physicists, and researchers involved in signal processing, transmission line theory, and those utilizing Mathematica for modeling waveforms.

bearphys
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I am interested in looking at the voltage component of a short (possibly nanosecond width) pulse in a coaxial cable along the cable at a given distance, Z, along the line. I am "cheating" by using the steady state Telegrapher's equation [Eq. 1] and formulating a periodic pulse approximation. It may not be desirable to use this steady state equation, but some form of the Telegrapher's Eq. is advised (suggestions for alternatives are appreciated). This is unlike my "physical" setup in which I will send a single pulse of information (microwave signal). I have determined Fourier approximation [Eq. 2] of my input pulse and the Fourier Coefficient [A]. My understanding is that the infinite series of circuits, as described by the Telegrapher's Equation, is dependent on frequency. I also recognize that I am going to use he coefficient [A] as my "weighted" distribution of frequencies to calculate my inherent, frequency dependent components.

Eq. 1
\frac{\partial}{\partial x} V(x,t) =-L \frac{\partial}{\partial t} I(x,t) - R I(x,t)
\frac{\partial}{\partial x} I(x,t) =<br /> -C \frac{\partial}{\partial t} V(x,t) - G V(x,t)​

Eq. 2
\frac{1}{2T} + \sum_{n=1}^{200} a_n \cos(\frac{2\pi n t}{T}) + b_n \sin(\frac{2\pi n t}{T})​

In my summation, 200 is the current limit as to not consume too much time approximating in Mathematica.

where an is

\frac{2}{T}\int^{\frac{T}{2}}_{0}{\cos(\frac{2 \pi n t}{T})​

and bn is

\frac{2}{T}\int^{\frac{T}{2}}_{0}{\sin(\frac{2 \pi n t}{T})​

NB: I am only using an integration for half of my period because the square-wave is 1 from 0 to \frac{T}{2} and 0 from \frac{T}{2} to T; Therefore, the second half of the period has an integration of zero.

My Fourier Coefficient is represented by b_n, since a_n is effectively zero.

Therefore, my "weighted" frequency formula, that determines the frequency dependent terms of the Telegrapher's Equation is b_n.

Now, I have to admit, I know I should solve [Eq.1] with Dirichlet approach, due to the boundary conditions, but that is the limit of my knowledge on the matter. I want to know what my pulse looks like at some t, or z.

Can anyone offer some insight into solving this initial equation and determining the dispersed signal's wave equation?

NB2: As I am using Mathematica, I can attach the existing notebook if desired.
 
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bearphys,

As you have included resistive terms, this equation has (now) some dispersive properties.
All modes wil not be traveling at the same speed and the shape of a multimodal pulse will be modified during propagation.

Without the resistive terms, the propagation speed is v= w/k = eps 1/sqrt(LC) ,
where w is the angular frequency, k is the wavevector and v the wave velocity,
and eps means +1 or -1 .

It could be interresting to start by the analysis of weak damping.
When r and G are small enough, the wave will simply show an additional damping given by:

w/k = eps 1/sqrt(LC) - i (R/L+G/C)/(2k)

(this is a dispersion relation, approximated first order for small R and G)
(i is the imaginary constant = sqrt(-1))
(calculation to be checked)

This indicates that short wavelengths (large k) will be less attenuated than long wavelengths. Indeed, in complex notation, the wave will be represented by this kind of space-time dependance:

exp(i(k z - w t))

where w and k are related by the dispersion relation.

The time dependence can always be represented by a Fourier series, of course.
However, what you are looking for the decay of the signal along the transmission line.
Therefore, you need now to concentrate on representing the spatial dependance.
In your representation, you might assume that the an and bn are functions of z.
You need then to develop the differential equations for these functions.
 
I just realized there is a good wiki on http://en.wikipedia.org/wiki/Transmission_line" .
This wiki does even provide a compact approximate solution valid when the resistive terms are small enough:

a741e93ffe62898891323cecb2b1a7d5.png


In that case you can see that the dispersion is simply due to the decay of the wave.
Because of the decay along the line, the pulse is deformed.
Note how obvious this solution is again, except for the precise expression of the decay index.

You could use this approximation to get some insight on your method.
Indeed, by expanding this approximate solution in Fourier series, would could have a taste of what you are looking for.
Later on, you could try to get a general method valid even for large resistive terms, or for other sources of dispersion.
 
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