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So far, the transmission lines we have looked at have been "ideal". That is they have been lossless anddispersionless. Lest you leave the course with a false idea of how things really work, we should go back to our model and try to get things adjusted just a bit.
As you can probably imagine, a real transmission line is going to have some series resistance, associated with the real lossesin the copper wire. There may also be some shunt conductance, if the insulating material holding the two conductors has someleakage current. We will need to include these effects along with the distributed inductance and capacitance which we havealready talked about. Fixing up the model accordingly, we now draw a section of line long as shown in . Taking the same voltage loop and current sum that we did back in thediscussion of transmission lines , we come up with the following version of the telegrapher's equations .
Clearly, we would like to simplify things if we can. Let's again make a sinusoidal time excitation assumption, and let and become phasors. Since the time variation is now represented by a simple the time derivatives become just . We have
The way to get a solution is, of course, just like we have always done. Take the derivative with respect to of
The obvious solution to this (See how easy this gets after you've done it once or twice) is
This number, is called the complex propagation constant . Obviously, in general, it will have both a real and an imaginary part:
The is called the attenuation coefficient , and obviously, the term in causes the amplitude of the wave to decrease as it moves down the line. is a sketch of what a wave would look like if it is both propagating down the transmissionline and also being attenuated. In a distance the amplitude of the propagating wave has fallen to of the value it had when it started.
Let's take the minus sign solution in and substitute back into
In general, in order to find , , , and , we would have to find the square root given in and for specific values of , , , and . On the other hand, we could maybe come up with some reasonable approximations which mightsuffice for cases of real interest. Obviously, if a line is very lossy, we would not be very interested in using it, and soexcept in some very special cases where an extremely lossy line is unavoidable (usually having to do with signals at very highfrequencies) we might see if we can find a low loss approximation.
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