Abstract

In an application like radar there is a need for a wide range of Beam widths depending on whether the radar is operating in search mode or tracking mode. Wide range of beam widths can be achieved by using optimization algorithms like Biogeography-based optimization (BBO) and Differential Evolution Algorithm (DE). The desired beam width should be achieved without any significant increase in the side lobe level (SLL). This can be done by optimizing both SLL and FNBW simultaneously. Synthesis of linear array antenna for a fixed range of beam width is obtained by using the proposed methodology. The results for simultaneous optimization of FNBW and SLL using BBO and DE algorithms are compared.

Highlights

  • In an application like radar, there is need for a broad beam while radar is operating in search mode and once an indication of a target is obtained, the radar has to switch over to tracking mode where a narrow main beam is required

  • In many applications a narrow beam width and low side lobe level beams are required but a significant decrease in First Null Beam width (FNBW) leads to an increase in SLL and vice versa

  • The results are obtained for the optimization of First null beam width (FNBW) and side lobe level (SLL) for Biogeography-based optimization (BBO) and Differential Evolution Algorithm (DE) algorithms

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Summary

Introduction

In an application like radar, there is need for a broad beam while radar is operating in search mode and once an indication of a target is obtained, the radar has to switch over to tracking mode where a narrow main beam is required In both cases, a low side lobe level is required to avoid false echoes. In many applications a narrow beam width and low side lobe level beams are required but a significant decrease in FNBW leads to an increase in SLL and vice versa. To get a low side lobe level beam with desired value of FNBW a linear antenna array is synthesized. This can be done by optimizing both FNBW and SLL simultaneously by using BBO or DE techniques. Represent the excitation amplitudes of the radiation elements and is given by 2π/⅄

Fitness Function
Linear Array
Differential Evolution Algorithm
Proposed Methodology
Results and Discussion
Conclusions
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