Abstract

Polarized smart antenna array has attracted considerable interest due to its capacity of matched reception or interference suppression for active sensing systems. Existing literature does not take full advantage of the combination of polarization isolation and smart antennas and only focuses on uniform linear array (ULA). In this paper, an innovative synthesis two-dimensional beampattern method with a null that has cross-polarization for polarized planar arrays is proposed in the first stage. This method aims to further enhance the capability of interference suppression whose optimization problem can be solved by second-order conic programming. In the second stage, a new sparse array-optimized method for the polarized antenna array is proposed to reduce the high cost caused by the planar array that is composed of polarized dipole antennas. Numerical examples are provided to demonstrate the advantages of the proposed approach over state-of-the-art methods.

Highlights

  • Smart antennas increase the capacity of communication systems by improving signal-to-noise ratio (SNR) in mobile communications [1, 2]

  • Mean square error of polarization matching in interest area (PMSE) is defined as an objective function, whereas the peak sidelobe levels (PSLLs) minimization of sparse array design is another objective function [24]. is optimization problem of PMSE can be constructed as follows: Pattern performance and polarization constraint for the polarized smart antenna must be considered in the sparse f(x)

  • A novel two-stage design approach for the sparse antenna array design of 2D polarized smart antenna arrays is proposed in this work

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Summary

Introduction

Smart antennas increase the capacity of communication systems by improving signal-to-noise ratio (SNR) in mobile communications [1, 2]. In terms of the capability to match reception and suppress interference, the adaptive array is applied in modern radar systems [3, 4] This kind of conventional space-time adaptive technology has its own limitations, especially in intentional interference. Polarization diversity can maximize the received SNR when matching the target polarization and can isolate the interfering signal from the desired signal when cross-polarizing the interfering signal. Considering this advantage, two synthesizing methods are introduced to design an electromagnetic beam with desired power and polarization [5, 9]. The multioptimization design of a sparse antenna array for polarized smart antennas is addressed following the MODE algorithm.

Signal Model
Two-Dimensional Beampattern Synthesis for Polarized Smart Antenna Array
Conclusions
Opposition-Based Learning
Pareto Dominance
Fast Nondominated Sorting
Full Text
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