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Studying the effect of Building Block Shape on Sierpinski tetrahedron fractal antenna behavior using FDTD-equivalent electric circuits

Abstract

This research aims to study the effect of the modification in the Building Block Shape (BBS) on the frequency response of Sierpinski three dimensional pre-fractal antenna using conventional circuit analysis. Three different shapes of BBS's are used to build the antenna. The surface current is analyzed and compared for every BBS. A simple model was devised using the nodal analysis to provide an iterative method for calculating the distribution of currents and voltages for the antenna at every node. The antennas parameters such as Y-parameter, Input Return Loss (IRL), delivered power and surface current are investigated at the first and third tuning frequencies to enhance the perspective of the BBS effect.

Fractal antenna; antenna design; modeling and measurements; numerical techniques; electric circuits; FDTD


Studying the effect of Building Block Shape on Sierpinski tetrahedron fractal antenna behavior using FDTD-equivalent electric circuits

A. N. Jabbar

University of Babylon, Hilla, Babylon, Iraq, e-mail: Ahmed.Najah72@Yahoo.com

ABSTRACT

This research aims to study the effect of the modification in the Building Block Shape (BBS) on the frequency response of Sierpinski three dimensional pre-fractal antenna using conventional circuit analysis. Three different shapes of BBS's are used to build the antenna. The surface current is analyzed and compared for every BBS. A simple model was devised using the nodal analysis to provide an iterative method for calculating the distribution of currents and voltages for the antenna at every node. The antennas parameters such as Y-parameter, Input Return Loss (IRL), delivered power and surface current are investigated at the first and third tuning frequencies to enhance the perspective of the BBS effect.

Index Terms: Fractal antenna, antenna design, modeling and measurements, numerical techniques, electric circuits, FDTD.

I. INTRODUCTION

The fractal is a fascinating entity that is spread widely in nature. Despite of the fractal complicated shape, it starts with a very simple shape like a line or square and then it is iterated, theoretically, to infinity to create a fractal [1, 2]. The infinite iterations are neither practical nor realizable thus the number of iterations should be limited to a reasonable value. The generated shape is called a prefractal to differentiate it from the fractal which is created using infinite level of iterations.

The pre-fractal is heavily invested in antenna design and microwave devices because it is space compact, multi-band and it has many other attractive features that make it an eligible choice for various microwave applications [3-10]. Therefore, we need to study the electromagnetic properties of the fractal. Hence, we need a simple iterative model to explore their behavior. A remarkable approach is the nodal analysis which is used to analyze ordinary electric circuits [11, 12, and 13]. This approach is adopted by many researchers to anticipate the frequency response of a certain shape.

One of the earliest attempts to build a recursive model was presented by [14]. In this paper each element was replaced by its S-parameter block to construct an iterative model. This model was implemented by [15] to study the effect of changing the flare angle on the antenna behavior.

The first electrical model was proposed by [16]. The author suggested that each area can be replaced by its equivalent RLC circuit to study the Sierpinsky fractal antenna properties. The author in [17] modified the electric model to construct a new fast accurate model. In [18], the author substituted the conventional Sierpinsky fractal antenna by wire elements depending on the electrical circuit to prove the model proposed by [16]. The nodal analysis was implemented by [19] to create a matrix that can be used to represent the antenna under study. This approached was used by [20] to replace the Sierpinski carpet by its equivalent gasket fractal antenna. This model was generalized by [21] to study the Sierpinsky tetrahedron antenna. In [22], the author compared between the study given by [21] and the practical results. The results proved the accuracy of the electrical model. Hence, it was the the topic for modeling and development for other researchers [23, 24].

In all the above studies the effect of the BBS was not studied. The contribution of this research is to study and analyze the effect of the BBS modification on the antenna performance. This aspect is important because it gives us the necessary clues on how to tailor a certain BBS to re-route the surface currents in order to achieve the desired antenna response. This paper suggests two modified block shapes. The first is created by altering the original block geometry while the second is created by adding parasitic elements. This process will result in a new surface current distribution leading to a new behavior. The nodal analysis is used as a tool for the analysis of this study.

II. FROM ELECTROMAGNETICS TO CIRCUIT THEORY

The FDTD is an important numerical approach used to solve the Maxwell field equations. It works as shown in Fig.1 [25]


In the beginning, the algorithm starts by dividing the whole structure into a grid of cells. Then the system is excited using a known source. Maxwell equation, given in Eq.1, is then solved at the boundaries of the first cell. The results are then used as driving potentials for the next cells and so on. After completing the solution for all cells the algorithm finishes its calculations [26, 27].

where H, and E are the magnetic and electric fields, Jeand Jmare the voltage and current densities and D and B are the electric field and magnetic flux densities.

Assume we have a cell in which the propagation occurs along one dimension (along the x-axis) as shown in Fig.2


The electric field propagation is given in Eq.2 [25]

where v, σ and µ are the propagation velocity, conductivity and permeability respectively. By comparing Eqn.2 with the equation that describes the voltage propagation along a one dimensional transmission line, given by Eq.3, we can notice the similarities between them [28, 29]

where V, L, C and G are the voltage, inductance, capacitance and admittance of a lossy transmission line respectively.

Hence we can convert the one-dimensional cell shown in Fig.2 to its equivalent electric circuit shown in Fig.3. The distributed element can be substituted by equivalent impedance as shown in Fig.2b.


where . This method can be extended for two dimensional cells to describe the electric and magnetic fields over a surface as shown in Fig.4.


Here, Virepresents the voltage of the i-th cell and R and Z0 are total impedances seen at the edges. We conclude that the equivalent impedance is independent of the surface topology and is related only to the area itself and the type of material.

After converting the shape into a simple electric circuit, we need to fully analyze the structure. Any electric circuit can be identified completely by its voltages and currents. Hence, we can use the nodal analysis to represent KCL and KVL as a matrix using circuit graph theory. This method transforms the electric circuit into a matrix to calculate the required voltages (electric field) and the currents (magnetic field) passing through the structure under analysis [8].

Three different BBS are proposed for purpose of study as shown in Fig. 5.The analysis given previously will be used to represent each BBS by an equivalent electric circuit.


For the three BBSs, the length of their edges is l=12.25 mm. The solid BBS has four surfaces with an area equals to A. It can be divided into three equal parts. Each part can be replaced by an equivalent Y as shown in Fig. 6.a. The edges of the four surfaces are connected in parallel yielding an equivalent admittance 2Y. By applying the same approach in [24, 30] we have the equivalent electric circuit shown in Fig. 6b.


For the cylindrical BBS, the diameter d is set to 0.56 mm to ensure that its surface area equals to A/3 in order to be replaced by an admittance Y. The equivalent electric circuit is shown in Fig. 6c. For the modified cylindrical BBS, the added elements are passing through the middle of each two adjacent edges; hence, their length equals to l/2. Therefore, the admittance of these elements is 2Y. The equivalent electric circuit is shown in Fig. 6d.

Let us assume that the system is working at maximum power transfer condition then YL =Yint, where Yintis the source internal admittance and YLis the load admittance (ZL=50 Ω). By using the nodal analysis, the Y matrix for each BBS is given by Eq.4, Eq.5 and Eq.6.

For the solid BBS

where I is a square identity matrix and YLI represents the grounded admittances part.

For the cylindrical BBS, we have

And for the modified cylindrical BBS, we have

The source current Is vector for the solid and cylindrical BBS (Fig.6b, c) is given in Eq.7

While for the modified cylindrical BBS (Fig.6.d) is

Using Ohm's law, we can find the voltages at each node as follows:

i. For the solid BBS

ii. For the cylindrical BBS

iii. For the modified cylindrical BBS

The important values in Eq.11 are v0, v1, v2 and v3 which are given in Eq.12. These nodes are important because they represent the feeding point for the next stage.

The other points (v4, v5, and v6) are only intermediate points located between the source and the connection points.

After finding the voltages and currents we can advance to the next stage. Each point (v0, v1, v2 and v3) can be considered as new feeding sources for the next stage. Following the same steps i, ii, and iii above and applying Eq. 7 to 9 we can find the voltages and currents passing through every branch in that stage and so on. The iterated model can be visualized as in Fig.7.


When all the required currents and voltages at every node are found, we can calculate the final Y-parameters for the antenna using the fixed point asymptotic behavior depending on the iteration level [31, 32].

The Y-parameters can be used to calculate the other types of parameters (scattering, hybrid, transmission line...). Equation 13 can be used to calculate S parameters [33]

where Z

Using the suitable set of parameters, we can calculate all the antenna parameters such as, the reflection coefficient, the Voltage Standing Wave Ratio VSWR as in Eq. 15 [34], and the delivered power as in Eq. 16 [35]

From the calculated voltages and currents at each node we can find the tuning frequencies, the electric field distribution, the surface current density, the electric energy, and the power flow.

III. THE MODEL SETTINGS AND SIMULATION RESULTS

The Sierpinski tetrahedron antennas are constructed using three iterations. For every BBS's the resulting antenna is shown in Fig. 8.


The material used for building the antennas is Perfect Electric Conductor (PEC) except the material that is used to interface the waveguide power source to the antenna (interfacing material) which has µr=1 and εr=3. The settings for every antenna are shown in Fig. 9.


A Visual Basic (VB) subroutine was built to carry out the circuit analysis inside CST studio suite. The antennas are tested for the range between 10MHz to 50GHz. The Input Return Loss (IRL) curve and its phase for the antennas are shown in Fig. 10.


The admittance real part, imaginary part, magnitude and phase are shown in Fig.11


 



The delivered power is shown in Fig.12


The surface current density is an important factor to analyze the antenna parameters such as the electric field, the electric energy, the power flow, and the far field pattern. Assume that the current density is J then the relation between the electric field and the current density is [36]

The value of (r) is calculated from section II. The current density at the first tuning frequency is given in Fig. 13 and for the third tuning frequency is given in Fig. 14 for the three antennas.



Fig. 14 shows that the solid BBS has always higher surface current density than the other two blocks. This confirms the electrical model discussed in section II where solid BBS has higher value of Y. The current peak level is almost twice the current peak level of the cylindrical BBS.

The current level of the modified cylindrical BBS cannot be compared easily with the other ones because its admittance is a tandem like structure. Hence, the current peak cannot be determined easily only by using the simulation. But overall, it has lower value of Y than the solid BBS and higher that the cylindrical BBS. The same can be said for the delivered power curve given in Fig. 12 and the Y magnitude at the tuning frequencies shown in Fig.11.c in which we can see that the magnitude of the solid BBS is always below the other two BBSs.

The antennas tuning frequencies, the tuning ranges and IRL at the tuning frequency, are given in Table I.

The antennas parameters which are measured at the first three tuning frequencies are summarized in Table II.

IV. CONCLUSION

This research introduces an iterative approach to analyze the effect of the building block geometry on the 3D pre-fractal antenna depending on the Y matrix. The nodal analysis represents a simple and an intuitive method to anticipate the behavior of the Sierpinski tetrahedron fractal antenna despite its complex shape. From the simulation results it can be seen that the BBS has a distinguishable effect on the antenna response. The BBS can add or subtract or alternate the value of the Y matrix which leads to a new distribution for the surface current density. The effect of BBS can be seen clearly at the high frequencies while at the low frequencies the BBS has no effect. At low frequencies (e.g. the first tuning frequency) when the wavelength λ is longer than the edge length l the effect of BBS geometry is not clearly obvious and all BBS's almost have the same behavior. At high frequencies (e.g. 45 GHz), the effect of BBS is obvious causing modifications to the tuning frequencies and their ranges. The effect of the BBS modification starts to take place at 9 GHz and above when λ<3 cm. This means that we can modify the antenna response at a certain frequency by adding elements that have lengths shorter than λ so as the effect to be noticeable.

It seems that decreasing the value of Y yields higher number of tuning frequencies with narrower ranges as in the case of cylindrical BBS compared with the modified and solid.

The added elements to the modified cylindrical BBS result better IRL properties at the tuning frequencies compared with solid and cylindrical because we have more tuned impedances.

Received 6 Jan. 2012; for review 2 Feb. 2012; accepted 15 June 2012

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Publication Dates

  • Publication in this collection
    16 July 2012
  • Date of issue
    June 2012

History

  • Received
    06 Jan 2012
  • Accepted
    15 June 2012
  • Reviewed
    02 Feb 2012
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