Abstract

This study presents an analysis of the convex optimization applied to the synthesis of the radiation pattern for linear antenna arrays. This study emphasizes the application of the convex optimization for the array pattern synthesis considering the simultaneous elimination of several zones interferences, reduction of the level of power in two space zones densely populated by interferences, as well as the variation of these zones in terms of proximity-distance of the source of interest, variation of the size of the interferences zones and the number of zones within the radiation pattern. Simulation results are provided. These results define certain levels where the linear array could be exploited to achieve a maximum performance.

Highlights

  • Mobile communications systems are facing an increasing demand for heterogeneous broadband services and applications

  • Smart antennas will increase the antenna gain, and reduce interference and delay spread by means of spatial filtering and enhance the properties of the mobile radio channel required for high data rate communication

  • This study illustrates the application of the convex optimization for the array antenna pattern synthesis, considering the simultaneous elimination of several zones interferences, reduction of the level of power in two space zones densely populated by interferences, as well as the variation of these zones in terms of proximity-distance of the source of interest, variation of the size of the interferences zones and the number of zones within the radiation pattern

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Summary

Introduction

Mobile communications systems are facing an increasing demand for heterogeneous broadband services and applications. Given the limited spectrum available to provide high data rate communication for an increasing number of cellular subscribers, it is generally expected that the deployment of smart antennas will increase the overall system capacity and performance. Smart antennas will increase the antenna gain, and reduce interference and delay spread by means of spatial filtering and enhance the properties of the mobile radio channel required for high data rate communication. The performance increase to be expected when using smart antennas highly depends on how accurate the interference pattern is reduced while maintaining a maximum gain in the direction of the signal of interest. Being directed toward either the signal processing or the antenna design, the application of smart arrays to mobile communications soon reached a boom, either involving space diversity methods, or advanced adaptive spatialtemporal receivers for spread-spectrum systems, e.g.[3]

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