A Scalable Arrangement Method for Aperiodic Array Antennas to Reduce Peak Sidelobe Level

TL;DR

This paper introduces a scalable method for designing large-scale aperiodic array antennas that effectively reduces peak sidelobe levels using optimized dislocation and randomization strategies.

Contribution

It proposes three innovative array structures and employs an improved Bat algorithm for optimization, demonstrating the superior performance of the DSRE structure.

Findings

DSRE achieves the lowest PSLR among the three structures.

The method is scalable and applicable to large-scale array antenna design.

Simulation results confirm the effectiveness of the proposed approach.

Abstract

Peak sidelobe level reduction (PSLR) is crucial in the application of large-scale array antenna, which directly determines the radiation performance of array antenna. We study the PSLR of subarray level aperiodic arrays and propose three array structures: dislocated subarrays with uniform elements (DSUE), uniform subarrays with random elements (USRE), dislocated subarrays with random elements (DSRE). To optimize the dislocation position of subarrays and random position of elements, the improved Bat algorithm (IBA) is applied. To draw the comparison of PSLR effect among these three array structures, we take three size of array antennas from small to large as examples to simulate and calculate the redundancy and peak sidelobe level (PSLL) of them. The results show that DSRE is the optimal array structure by analyzing the dislocation distance of subarray, scanning angle and applicable frequency. The proposed design method is a universal and scalable method, which is of great application value to the design of large-scale aperiodic array antenna.