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Neural Modeling of 15 Element Dynamic Phased Array Smart Antenna

In this paper, the neural network based approach to find the approximate beam width of 15 element dynamically phased array in a particular scan angle is presented. The dynamically phased array smart antenna is a group of antennas in which the relative phases of the respective signals feeding the antennas are varied in such a way that the effective radiation pattern of the array is reinforced in a desired direction and suppressed in undesired directions. A phased array may be used to point a fixed radiation pattern, or to scan rapidly in azimuth or elevation. A neural network-based solution can exploit the “a priori” knowledge of the radiating system to relate a given radiated field distribution with the voltages that must be applied to each radiating element without increase of complexity. In this approach the computation of the beamwidth is accomplished using three layer radial basis neural network. The result obtained by this network is in excellent agreement with simulation results.