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https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16429
Title: | Regression Model For Analyzing The DGS Structures Propagation Characterisitcs |
Authors: | Kuravatti, Prakash K Rukmini, T S |
Keywords: | DGS Propagation Characteristics Experimental Model Mathematical Model Curve Fitting Uncertainty Regression Model |
Issue Date: | Apr-2014 |
Publisher: | International Journal of Research in Engineering and Technology |
Citation: | Vol. 3, No. 4; pp. 239-243 |
Abstract: | Defected ground structure (DGS) analyzed by recently due to the great potential capability of microwave application. The propagation characteristic of DGS is varied based on their structure changes and it affects the performance of designed microwave antenna. For analyzing the propagation characteristics in a clear way, there is a need for modeling of the structure. This mathematical model determines the performance of DGS structures and realizes the slow wave effect. Using the proper DGS structure, there is a possibility of good slow wave effect and Q-factor. Moreover, the surface wave polarization of DGS structure is also affected by the microwave integrated circuit. In the paper, regression analysis based mathematical model is proposed to analyze the propagation characteristics of DGS. Regression models are one of the statistical models which describe the variation in one or more variables when one or more other parameters vary. The proposed regression based mathematical model is implemented in MATLAB working platform and the output performance is evaluated with Rectangular DGS structures such as The effectiveness of the proposed regression model is validated by evaluating error deviations of it with curve fitting model and experimental model for mentioned PDGS structures. |
URI: | http://dx.doi.org/10.15623/ijret.2014.0304042 https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16429 |
ISSN: | 2319-1163 2321-7308 |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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IJRET20140304042.pdf | 209.08 kB | Adobe PDF | View/Open |
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