The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this work we propose a method based on 3D electromagnetic simulations to design and optimize Wireless Sensor Network (WSN). We investigate the performance of WSN based on ZigBee modules for the application of collecting the data obtained from sensors distributed inside a research rocket. The propagation conditions inside the rocket are simulated and optimized using commercial 3D electromagnetic...
A new cost function definition based on the Fréchet distance used in the process of coupling matrix synthesis by optimization is proposed. Such a definition finds a kind of similarity by direct comparison of an ideal - tuned filter response (template) and filter response obtained from optimized coupling matrix. The numerical experiments of coupling matrix optimizations using proposed cost function...
This paper proposes a new hybrid cost function used in filter coupling matrix synthesis. Coupling matrix synthesis is a very important step in microwave filter design process and can be done in a way of optimization which needs a well designed cost function. The first term of proposed cost function is defined by the Hausdorff distance between template and optimized sets of zeros and poles extracted...
In this paper it is investigated how the number of measured frequency points of reflection characteristics influences the behavior of its coefficients in the process of microwave filter tuning. The method used to identify the rational function corresponding to the reflection characteristics is Least Squares version of Cauchy interpolation technique. The number of frequency points required in the process...
This paper shows the application of Simplex Search Vertices Searching (SCVS) algorithm in solving nonlinear equations of the form F(ƒ, γ) = 0, where ƒ ∊ R, γ ∊ C and F is complex function, for the case where we face the problem of close or double complex roots. This problem is solved with the use of standard SCVS procedure, recently reported. In this case 2- and 3-Simplexes are used for root tracking...
This elaboration presents the improvement of an algorithm based on artificial neural network (ANN) for microwave filter tuning. In the applied algorithm, which is based on direct mapping of the detuned filter characteristics to the tuning element error, the sets of ANN learning vectors containing scattering filter characteristics and corresponding tuning element deviations are used. In the concept...
This paper presents a novel method that is very efficient in solving multidimensional real and complex eigenvalue problems, commonly employed in electromagnetic analysis, which can be transformed into a nonlinear equation. The concept is realized as root tracing process of a real or complex function of variables in the constrained space. We assume that the roots of the continuous function of variables...
This work presents how to improve an algorithm based on artificial neural network (ANN) for microwave filter tuning. Sets of ANN learning vectors which contain scattering filter characteristics and corresponding tuning elements deviations are used in the concept. The main idea is to transform filter characteristics to wavelet Daubechies D4 representation before ANN training. Experimental results have...
This paper shows how to improve the efficiency of the Artificial Neural Network (ANN) method for the cavity filter tuning. It was proved that the usage of many golden filters in the process of collecting the learning vectors, used in ANN training, has the significant influence in decreasing the ANN generalization error. Thus, the algorithm efficiency is increasing. The generalization error value of...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.