The polarized electromagnetic waves impinging on adaptive antenna arrays have significant impact on their performance. In this paper we investigate the effect of polarized desired and undesired signals on the performance of electronically steered beam adaptive antenna arrays in terms of their output SINR’s (Signal to Interference plus Noise Ratios). To achieve this goal, we compare the performances of adaptive antenna arrays composed of single dipole antenna elements with those composed of cross-dipole antenna elements to illustrate the effect of polarized signals on their performance. Based on the experimental and simulation results, it will be shown that the adaptive antenna arrays using cross-dipole antennas provide better performance compared to those using single-dipoles, in presence of randomly polarized signals. However, if the desired signal polarization is well known, single-dipole antenna arrays exhibit better performance.
In this chapter, the performance of steered beam adaptive arrays is presented with its corresponding analytical expressions. Computer simulations are used to illustrate the performance of the array under various operating conditions. In this chapter, we ignore the presence of mutual coupling between the array elements. The principal system elements of the adaptive array consist of an array of sensors (antennas), a pattern-forming network, and an adaptive pattern control unit or adaptive processor that adjusts the variable weights in the pattern-forming network. The adaptive pattern control unit may furthermore be conveniently subdivided into a signal processor unit and an adaptive control algorithm. The manner in which these elements are actually implemented depends on the propagation medium in which the array is to operate, the frequency spectrum of interest, and the user’s knowledge of the operational signal environment.
Green Building philosophy is based on providing comfortable living environment for the residents, and simultaneously maintaining low level of negative impacts on the environment, besides applying resource efficient methodologies throughout the life cycle of the building, including efficient usage of energy resources. To achieve these goals, software applications can be used as part of Building Information Modeling (BIM), to analyze and simulate energy consumption in Green Buildings.
The main contribution of this paper lies in conducting thorough investigation and comparison of the performance of most common simulation applications used for energy consumption in green buildings, and hence the best application is selected based on unified criteria, which includes various sets of design conditions and parameters.
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