CST – Computer Simulation Technology

MIMO Systems Simulations for Automotive Environment

Multiple Input Multiple Output (MIMO) systems have garnered a lot of attention recently in antenna system research, and they are often used to improve the quality of service and efficiency of wireless communications. The automotive environment is an especially challenging problem for antenna systems, since the large metal chassis of cars can have a very negative impact on their performance. Modern automobiles also must accommodate an ever increasing number of wireless services, that all require cabling inside the car from the antenna to the transceiver. As the number grows, it is increasingly hard to accommodate them all due to the limited space for antennas and cabling. MIMO systems could thus provide a much needed improvement in these situations. The research presented here is based on the Master of Science thesis by Arttu Rasku from Tampere University of Technology, Finland (http://www.tut.fi). The research work was done in Elektrobit, Finland (http://www.elektrobit.fi)....



Figure 1: Advanced car model for CST MWS simulations

CST MICROWAVE STUDIO® (CST MWS) is ideal for automotive simulations for a number of reasons: the geometries can be easily imported and modified using the powerful interface; the robust and accurate PERFECT BOUNDARY APPROXIMATION® (PBA) allows efficient meshing, thus reducing the computational requirements; and the memory usage of the transient solver grows linearly as a function of mesh cells allowing very large scale simulations, and also allowing the simulation of broadband AM/FM, GSM and GPS antennas. In this study, special emphasis was on the placement of the antennas on the car body. The parametric modeling and the parameter sweep features of CST MWS allows easy automatization of the antenna placement, thus reducing the time spent on setting up the simulations.



Figure 2: Basic car model for CST MWS simulations

In the study, two car models were used for simulations: A dummy model, i.e. the so-called basic car model (BCM), and an advanced car model (ACM) based on third generation (E34) BMW 5 series 4-door sedan from the early 1990’s. The BCM model was also used for radiation pattern measurements that were done at VTT Technical Research Center of Finland facilities in Espoo, Finland. For the antennas two types of monopole antennas – cylindrical and flat bar – with center frequency of 700 MHz were used in the simulation, but only the flat bar model was used in the measurements. Due to the limited time and resources, only two-antenna arrays were used for the final measurements.



Figure 3: Flat bar and cylindrical monopole antenna prototypes

The final antenna placements used in the measurements are shown in the Figure. 4. Two types of linear arrays were used, transverse and longitudinal. In the first case, the distance of both antennas from the roof rear edge varied between 60 mm and 770, and the spacing between antennas varies between 0.5 and 1.25λ. These configurations are shown as black boxes. In the latter configuration, shown as green boxes, both antennas were placed on the center line, and the spacing between them was varied as shown in the picture.



Figure 4: Placement of the antenna elements on the roof of the BCM car model. The black boxes mark the transverse array antenna location, and the green ones the longitudinal array element locations

As can be seen from the Figures 6 and 7, the differences in the simulation results between the two car models BCM and ACM are very small. As can be expected, the ACM model results have more ripples, whereas the BCM model results are quite smooth. The direction of the peaks and nulls agree well, as do the general gain levels. Figure 6 shows a comparison of the simulation results for various distance of the transverse antenna array with 0.5λ element spacing. As can be seen, the variation between the results is very small, thus the effect of the distance from the roof edge is not very large. For the array closest to the roof edge the results show some more ripple, which is an indication that the surface currents on the ground below the antennas are disturbed by the roof edge. Otherwise, it seems that the effect of the edge is quite minimal.



Figure 5: Dummy car model (BCM) used in the measurements


Figure 6: Azimuth (left) and longitudinal elevation (right) plane radiation pattern simulation results for transverse antenna array with 0.5 wavelength antenna spacing, 200 mm distance from the roof rear edge


Figure 7: Azimuth (left) and longitudinal elevation (right) plane radiation pattern simulation results for transverse antenna array with 5/4 wavelength antenna spacing, 200 mm distance from the roof rear edge

Figure 8 shows the comparison between measurement and simulations for the longitudinal antenna array with 0.5λ element spacing for shortest simulated distance from roof edge (in the measurement setup, the antenna were 20 mm further away from the roof edge). As can be seen, the measurement and simulation results agree very well. Similarly, Figure 9 shows the comparison between two 90° phased antenna elements with 60 mm distance from roof edge and 5/4λ element spacing, but for transverse elevation plane. Both these results show that CST MWS can be easily used to accurately simulate this kind of problems.



Figure 8: Comparison of the measured and simulated azimuthal radiation pattern results for longitudinal antenna array with 0.5 wavelength element spacing


Figure 9: Comparison of the measured and simulated longitudinal radiation pattern results for two 90 degree phased antenna elements with 5/4 wavelength element spacing, 60 mm from roof rear edge

Rate this Article

0 of 5 Stars
5 Stars
0%
4 Stars
0%
3 Stars
0%
2 Stars
0%
1 Stars
0%
contact support

Your session has expired. Redirecting you to the login page...

We use cookie to operate this website, improve its usability, personalize your experience, and track visits. By continuing to use this site, you are consenting to use of cookies. You have the possibility to manage the parameters and choose whether to accept certain cookies while on the site. For more information, please read our updated privacy policy


Cookie Management

When you browse our website, cookies are enabled by default and data may be read or stored locally on your device. You can set your preferences below:


Functional cookies

These cookies enable additional functionality like saving preferences, allowing social interactions and analyzing usage for site optimization.


Advertising cookies

These cookies enable us and third parties to serve ads that are relevant to your interests.