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Fractal Tortuous Walk

More generally, a fractal tortuous path can also be constructed in terms of a random walk between two endpoints [Vecchi, et al., 1994]. We start with a straight line of length L, to which the midpoint is displaced using a Gaussian random generator with zero average and deviation (usually ). The procedure is then repeated to each of the straight segments N times. There is a clear repetition in successive halving of the structure as we go to smaller scales, making this antenna broad band. Figure 6a shows a typical tortuous fractal where the division has been taken to the N=8 level and in which the pathlength s has increased 5 times, i.e. s=5L. We can estimate the fractal dimension by realizing that the total length should go as , where is the average segment size. This formulation is completely equivalent to Eq. (1).

We let an oscillating current, e.g. propagate along the fractal, but in real applications we can imagine the oscillating current lasting for only a finite time . In order to have a finite current pulse propagating through the fractal random walk, we let with and as the step function. Here n represent the number of oscillations during the decay time scale 1/ . We chose the decay parameters as s and s, hence , which correspond to realistic parameters for lightning [Uman, 1987]. The radiated power density is then computed using Eq. (12) and is shown in Fig. 6b for n and at the position a, a km. The dipole equivalent is given by the dashed lines in all 3 panels. The peak in the radiated power density is about 10 times larger than for the dipole case, which agrees well with the results n even though the effect from the tortuosity is not small. The larger path length of the tortuous discharge produces an increase in the radiation as compared with a dipole radiator. Of course there is a limit due to energy conservation, but in practical applications we are well under it. The increase in the high frequency components of the radiated field power spectrum (Fig. 6c), as compared with the dipole antenna, will be responsible for the spatially structured radiation pattern.

  
Figure 6: The fractal random walk (a) and its instantaneous radiated power density (b) as well as its power spectrum (c). The dashed lines represent the behavior of the single dipole.

The far field array factor (defined in Appendix A) and the peak power density depend on the path length, or equivalently on the number N of divisions of the fractal. Figure 7b shows the array factor as a function of the path length for the fractal shown in Fig. 7a. Here n so that the peak of the array factor is at a and a. There is a clear increase in the array factor from the tortuous fractal as compared with the single dipole.

  
Figure 7: (a) The tortuous discharge. (b) The array factor dependence, normalized to the dipole, on the pathlength.

Therefore, the effect of tortuosity can increase the radiated power density at certain locations as compared to a single dipole antenna.

Another important concept related to fractal antennae is the spatial structure of the radiation field. We can see from the array factor, Eq. (13), that for large n . The spatial dependence of the array factor will be determined by the factor over the fractal. Consequently, the radiation pattern will have spatial structure when which translate into n. Figure 8b shows the array factor at the height h=60 km for the discharge structure shown in Fig. 8a with n. Therefore, such a tortuous fractal can also display a spatial structure in the radiation pattern. But it is more natural for the spatial structure to be generated through a branching process as we will see in the next section.

  
Figure 8: The fractal structure (a) and its array factor(b) showing clear spatial structure in the radiation pattern.

There is an energy constraint that limits the degree of tortuosity of a fractal lightning discharge since we cannot radiate more energy than what is initially stored as separated charge. Also, if the line elements of the antenna given by Fig. 5 get too close together, then their contribution to the radiated field will tend to cancel each other. Therefore, there is an optimal number of elements forming an antenna, and this optimal number translates into an optimal dimension of the fractal, more on this later.



next up previous
Next: Branching and Spatial Up: Radiation and Simple Previous: Gain Due to