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Optimize Data Transfer for Microwave Connection in the Iraq Electrical Grid Communications Based Controlling Fuzzy-Estimation

Journal: International Journal of Science and Research (IJSR) (Vol.7, No. 2)

Publication Date:

Authors : ; ;

Page : 1467-1474

Keywords : error estimate channel; minimum mean square error MMSE; Modified Extended Kalman Filter MEKF; Mean Final Error Ratio MFER;

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The broadband in wireless services is very expensive, in sometimes limited and increase demand (for many serves). for this reason and other we need to manage the bandwidth by controlling the channels in communication system it& #039, s necessary that exploiting the good part form this bandwidth. In this paper, we propose to use estimation technique for estimate channel to transfer data thought channel as possible. the proposed estimation is based on the Minimum Mean Square Error (MMSE) and Modified Extended Kalman Filter (MEKF) this estimations technique used to find the Mean Final Error Ratio (MFER) in our propose. This error (MFER) uses as input to Fuzzy rule and then control parameter (control data, speech, image, video) for Microwave Connection for Iraq Electrical Grid, the Fuzzy adjusted availability channel with an amount of data needed to transfer over this channel at next time period The propose system is designed to management data communications through the channels connect among the Iraqi electrical grid stations. The results show that the modified Extended Kalman filter have a best result in time and noise estimation (0.1109 for 5 % noise estimation to 0.3211 for 90 % noise estimation and the packets loss rate is reduced with ratio from (35 % to 385 %).

Last modified: 2021-06-28 18:40:06