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Showing 2 results for M. Kahrizi

M. Kahrizi, A. Heidary and M. Kyvanfar,
Volume 16, Issue 2 (1-1998)
Abstract

Analysis of aperture-coupled microstrip antennas with a superstrate using space domain closed form Green's functions is presented. Integral equations are derived from applying the boundary conditions on the radiating patch, across the aperture, and on the microstrip feedline. The computation of space domain green's functions is performed using the closed-form. The solution of the integral equations is based on the method of moments. The information about the input impedance of the antenna is extracted from the electric current distribution on the microstrip feedline using the matrix pencil technique. The radiation pattern is obtained from the electric current distribution on the antenna's patch utilizing the asymptotic forms of sommerfeld integrals. The effect of considering a superstrate for different thicknesses and dielectric constants are examined. Numerical results are compared with other published and experimental results. The results show good agreement with prerions data.
G. Mirjalily, M. R. Aref, M. M. Nayebi and M. Kahrizi,
Volume 19, Issue 1 (7-2000)
Abstract

In a detection network, the final decision is made by fusing the decisions from local detectors. The objective of that decision is to minimize the final error probability. To implement and optimal fusion rule, the performance of each detector, i.e. its probability of false alarm and its probability of missed detection as well as the a priori probabilities of the hypotheses, must be known. However, these statistics are usually unknown or may vary with time. In this paper, we develop a recursive algorithm that adapts the fusion center. This approach is based on the time-averaging of local decisions and on using the analytic solutions that guarantee the asymptotic convergence. Also a simple method is proposed that enables the algorithm to track changes faster. Simulation results are presented to demonstrate the efficiency and convergence properties of the algorithm.

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