Mohamed A. Zohdy

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In this paper accurate estimation of parameters, higher order state space prediction methods and Extended Kalman filter (EKF) for modeling shadow power in wireless mobile communications are developed. Path-loss parameter estimation models are compared and evaluated. Shadow power estimation methods in wireless cellular communications are very important for(More)
In this study we develop the theory lying behind a model-based dynamic recurrent neural network (MBDRNN) that has been previously used to improve the linearized models of nonlinear systems. The initial structure of the MBDRNN is based on the linearized system model. Afterwards, the MBDRNN is trained to represent the system's nonlinearities by adapting the(More)