# Wideband Printed Antenna Design Using a Shape Blending Algorithm

Authors: Aiting Wu; Zhonghai Zhang; Boran Guan
Journal: International Journal of Antennas and Propagation
 (2017)

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## Abstract

The shape of the tuning stub of the wide slot printed antenna is an important factor which affects the antenna’s performances. In this paper, a new design and optimization method of wideband printed slot antenna using a shape blending algorithm is presented. The proposed antenna consists of a wide rectangular slot and a tuning stub, whose profile is formed by the shape blending outcome from a pie and a diamond shape. The method is used to design an ultra-wideband antenna. The impact on the impedance bandwidth through the antenna geometry change with the different shape blending results has been investigated and analyzed. To verify the proposed design, the antenna prototype was designed, fabricated, and measured. The measured results are compared with the simulation and show good agreement.


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## Body

## 1. Introduction

It has always been the goal of antenna engineers to improve antenna performance such as impedance bandwidth, size, and gain. Antenna researchers and engineers have developed different kinds of tools to facilitate the design process and effectively design antennas that meet the given specifications. The conventional design methods usually begin with an existing geometry found in the literature or inspired by the prior knowledge. Then various geometry parameter investigations are conducted to improve or optimize certain antenna characteristics. Generally, the whole design process significantly depends on the engineer’s expertise and knowledge and it takes time.Optimization techniques are then proposed to either synthesize an antenna from given radiation characteristics or simply improve existing antenna designs. Brute-force search routines that utilize numerical methods to provide radiation properties of antennas generally consume a considerable amount of time. Therefore, a great deal of work has been devoted to achieving design and optimization process which could find an optimum solution effectively and accurately [1]. Evolutionary algorithms, such as genetic algorithms (GA) and particle swarm optimization (PSO), are extensively reported to optimize various electromagnetic devices [2–6]. Typical applications of the algorithms make use of objective function, which treat the design process as a nonlinear problem and make it like a black-box. However, low efficiency and poor performance are the common problems of these types of algorithms [7].Coplanar waveguide- (CPW-) fed wide slot antennas have been widely used in communication systems due to their several beneficial merits such as mechanical durability, conformability, compactness, and cheap manufacturing costs. Before long, people found that the different designs of wide slot and tuning stub of the printed antenna have an effective impact on the impedance bandwidth [8–17]. However, generally, it will take antenna designers a lot of time and efforts to find the proper geometry of the wide slots and tuning stubs to meet the specification. Evolutionary algorithms are also proposed to apply on the design process [18, 19]. Inefficiency remains the biggest challenge. For example, the design process in [18] took about 21 days.Based on our previous research work in [20], in this paper, a novel technique for antenna design and optimization process, shape blending algorithm, is presented and further applied in the design of a CPW-fed wide slot antenna. The tuning stub’s shape of the proposed antenna is constructed by the shape blending result between a pie and a diamond. Formulating the curve edge of the tuning stub by shape blending, the impedance bandwidth of the antenna can be improved significantly if the parameters of the shape blending process are selected appropriately. The proposed design algorithm has a good performance, with the automated design process less than 70 seconds through simulation. The main novelty of our contribution is that a brand new design and optimization method, shape blending, is introduced and used in the antenna design. Compared with the traditional optimization methods, such as evolutionary algorithms, it has much better performance.


## 2. Shape Blending Algorithm

Shape blending, also known as shape morphing or shape averaging, is pioneered in computer science and is an important technique in computer graphics. It continuously transforms a source shape to a destination shape. Although computer scientists are supposed to take most of the credit for the development of the technique, other domains such as industrial design and entertainment have successfully put the shape blending algorithm into practice [21, 22].This paper firstly demonstrates how the shape blending algorithm is used to construct the curve edge of the tuning stub of the slot antenna and improve the antenna impedance bandwidth gradually. In the first step, a pie and a diamond are selected as the source shape and destination shape, respectively, as shown in Figure1.Figure 1
Source shape and destination shape. (a) Source. (b) Destination.
(a)
(b)The following step is to figure out the corresponding relationship between the vertices in the source shape and destination shape, which is called vertex correspondence. There are different kinds of methods to find the correspondence relationships. The selected approach is generally determined by the geometric properties presented in the source and destination shapes and the practical application context. The ray firing approach is one of the most fundamental methods and it is adopted here, where several rays are fired from the center of the source shape. Each half-line will have one intersecting point with the source shape and destination shape, respectively. Then the two intersecting points are regarded to be corresponding. Figure2 illustrates the principle. The verticesA1–A12 of the pie shape correspond to the verticesB1–B12 of the diamond.Figure 2
Ray firing method to find the vertex correspondence between a pie and a diamond.Then the next problem is to determine the moving path between each pair of the corresponding vertices, that is, how a vertexAn moves to its corresponding vertexBn. This is called the vertex path problem. The simple linear interpolation is used here. As shown in Figure 2, a series of verticesCn could be obtained by linearly interpolating on each pair of the verticesAn andBn. Then the polygonC formed by connecting allCn vertices is one shape blending result ofA andB, which could be formulated as the following expression:(1)Ct=1-tA+tB=1-tA1+tB1,…,1-tAn+tBn=C1t,…,Cnt,where n=12,A andB present the source shape and the destination shape respectively, and the parametert is referred to as the blending coefficient. When 0≤t≤1, it is interpolation, and when t<0 or t>1, it is extrapolation.From (1), by varying the values of the blending coefficientt, it results in a collection of polygons as the blended results, as shown in Figure 3.Figure 3
Blended shapes with differentt values.


## 3. Antenna Configuration

The geometry and layout parameters of the proposed antenna are illustrated in Figure4. The antenna is printed on a microwave substrate with the thicknessh = 0.508 mm, the dielectric constantεr = 3.66, and the loss tangent equal to 0.004. The antenna is located inx-yplane with the normal direction alongz-axis. The ground plane and the wide slot of the antenna are denoted as L×W. and L1×W1, respectively. The enclosing rectangle of the tuning stub isl by w and is connected to a CPW feed line with its length ofd and width ofs. The feed aperture is set to g. The feeding gap between the inner stub and the bottom edge of the wide slot is denoted as dw.Figure 4
Geometry of the proposed antenna, with the blending coefficientt=1.3.The proposed antenna is simulated and optimized using Ansoft HFSS. The final dimensions of the fabricated prototype are as follows:L = 32 mm,W = 32 mm,L1 = 26 mm,W1 = 16.8 mm,d = 7.2 mm, g=0.2 mm,s = 1.0 mm, dw = 0.13 mm,l = 12 mm, and w = 12 mm.Various shapes of the tuning stub can be constructed with differentt values, which finally affect the antenna impedance bandwidth. To further analyze the effect of the parameter, the return loss coefficient of the antenna is simulated for different t values, as illustrated in Figure 5. It could be seen that neither the pie (t=0) nor the diamond (t=1.0) alone could cover the whole UWB band. However, when blending the two shapes, the impedance bandwidth improves gradually and when t is equal to 1.3, it has the largest impedance bandwidth extending from 2.48 GHz to 12.12 GHz, indicating a 132% relative bandwidth.Figure 5
Return loss coefficients of different blending coefficientt values.Table1 presents the simulated results when t changes from 0 to 1.9.Table 1
Bandwidth comparison for varioust values.
t value
Frequency range (GHz)
Absolute bandwidth (GHz)
f
c (GHz)
Fractional bandwidth
0
2.42–6.7
4.28
4.56
93.86%
0.3
2.37–7.79
5.42
5.08
106.7%
0.6
2.42–8.36
5.94
5.39
110.20%
1
2.45–8.8
6.35
5.625
112.89%
1.3
2.48–12.12
9.64
7.3
132.05%
1.6
2.56–11.37
8.81
6.965
126.49%
1.9
2.57–10.62
8.05
6.595
122.06%The bandwidth results in the above table could be plotted in a line chart for better illustration of the relationship between the antenna impedance bandwidth and the parametert, as shown in Figure 6.Figure 6
Simulated bandwidths of varioust values.For the fabricated prototype, the blending coefficientt is selected to be t=1.3 when the antenna bandwidth reaches its maximum. Figure 7 shows the fabricated antenna prototype.Figure 7
The fabricated antenna prototype.


## 4. Simulation and Experimental Results

The antenna VSWR is measured by the Rohde & Schwarz ZVM Network Analyzer (10 MHz–20 GHz). The antenna is fed through a SMA connector. The simulated and measured results of the VSWR are presented in Figure8. It illustrates that the antenna impedance bandwidth extends from 3.05 GHz to 11.7 GHz, indicating a 117% relative bandwidth. It is in excess of the UWB spectrum defined by FCC and also covers the frequency band of WLAN and WiMAX. It could be observed that there is a good agreement between the simulated and the measured results. With regard to the discrepancy between the simulated and the measured results, the simulation itself has its intrinsic errors. On the other hand, the SMA connector’s side effects, the fabrication imperfections, the welding procedure, and the quality of the used microwave substrate material will all potentially contribute to the discrepancy.Figure 8
Simulated and measured VSWR.To better understand the UWB characteristic of the antenna [23], the simulated current distributions at different frequencies are presented in Figure 9. Figure 9(a) shows the current pattern near the first resonance at 2.8 GHz. The current pattern near the second resonance at 3.6 Hz is given in Figure 9(b), indicating approximately a second-order harmonic. Figure 9(c) illustrates two more complicated current patterns at 7 GHz and 11.5 GHz, corresponding to the third-order and fourth-order harmonics, respectively. These current distributions indicate that the UWB characteristic of the antenna is attributed to the overlapping of a sequence of appropriate spaced resonance modes.Figure 9
Simulated current distributions at (a) 2.8 GHz, (b) 3.6 GHz, (c) 7 GHz, and (d) 11.5 GHz.
(a)
(b)
(c)
(d)The radiation patterns of the proposed antenna are displayed inx-y plane (or E-plane) andy-z plane (or H-plane), respectively. Figure 10 illustrates the simulated and the measured normalized radiation patterns of the antenna at 3 GHz, 6 GHz, and 9 GHz. It can be clearly seen that the simulated and measured results have a good agreement with each other. In E-plane, the radiation patterns are almost bidirectional at lower frequencies, while there are quite some distortions at higher frequencies. In H-plane, all radiation patterns conserve a relatively stable omnidirectional characteristic over all the three frequencies.Figure 10
Simulated and measured radiation pattern at (a) 3 GHz, (b) 6 GHz, and (c) 9 GHz.
(a)
(b)
(c)


## 5. Conclusion

A novel design method of printed CPW-fed slot antenna using the shape blend algorithm has been proposed and investigated for wideband applications. The impact of the blending coefficientt on the antenna impedance bandwidth is analyzed in detail. To verify the proposed design and the simulation results, the prototype is designed, fabricated, and measured. There is a good agreement between the simulated results and measured ones. It shows that the measured impedance bandwidth extends from 3.05 GHz to 11.7 GHz, indicating a 117% relative bandwidth. The shape blending algorithm has been proven to be a novel effective and convenient method in the wideband antenna design process.



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