Spatial Quantization: Advancing Insights for Enhancing RRAs Performance

TL;DR

This paper introduces spatial quantization in reconfigurable reflectarrays, demonstrating that increased spatial quantization bits improve sidelobe levels, scanning accuracy, and scan loss through theoretical and simulation analysis.

Contribution

It systematically analyzes the effects of different element spacings and quantization bits on RRA performance, providing new insights for design optimization.

Findings

5dB SLL improvement with increased quantization bits

Scanning accuracy improved from 54.52° to 57.97°

Scan loss reduced from 5.02dB to 2.85dB

Abstract

In the new perspective of spatial quantization, this article systematically studies the advantages of reconfigurable reflectarray (RRA) designed with closely spaced elements in terms of sidelobe level (SLL), scanning accuracy and scan loss, including theoretical analysis and simulation verification. This article sequentially studies RRAs with element periods of {\lambda}/2, {\lambda}/4 and {\lambda}/8. Both theoretical and simulation results show that under the condition of the same aperture size, with the number of spatial quantization bits increasing, the SLL performance of 1bit RRA using closely spaced structure will have a improvement of about 5dB. The scanning accuracy at 60{\deg} is improved from 54.52{\deg} at {\lambda}/2 to 57.97{\deg} at {\lambda}/8, while the scan loss is improved from 5.02dB at {\lambda}/2 to 2.85dB at {\lambda}/8. This study has an important reference value for reconfigurable reflectarray design, communication system and radar design.