the process of exporting the impedance matrix from Feko into Matlab will be illustrated. To begin with, the antenna design is build and meshed in CADFEKO without specifying any feeding structure. Then, under the rubric solve/run the EDITFEKO option is activated. EDITFEKO is a script file where the meshed geometry is imported, and the solution configurations are established using the control cards. The foremost cards to be edited are EG card used to set the solution accuracy to double precision, and FR card that serves for setting the simulation frequency (single frequency option is used). After that the PS card is edited, and the option allowing to save the impedance matrix elements to *.mat file is chosen. No further settings are required for FEKO files, and the project is saved. All the remaining manipulations will be managed using Matlab environment. In the other side, in order to generate an impedance matrix for each frequency step, two scripts are used where the same project name is used as in FEKO. The role of each script will be illustrated for a project name ’metalplate’. MultiFrqFeko.m : this script generates the *.pre files for each single frequency step. The content of ’metalplate.pre’ is copied into a temporary file ’metalplate.tmp’, where the line containing ’#this frq =’ , is modified to get the numerical value of the corresponding frequency step. Then, a new file is created having the name of the project followed by the number of the corresponding frequency step (i.e. metalplate1.pre). Finally, the ’dos’ function is called to perform the execution of FEKO files from Matlab.an example of the command execution can be stated as dos(’prefeko metalplate1.pre’) dos(’runfeko metalplate1.pre’) getZFeko.m : this function is used to convert the obtained impedance matrices from mat extension of FEKO into ASCII format using the mat2ascii application, and following command line system(’mat2ascii metalplate1.mat > metalplateASCII1.txt’) application can be Now the resulting impedance matrices can be easily manipulated using Matlab.