Improving Beam Granularity Performance of Reconfigurable Refelctarray Radars via Spatial Quantization and Phase Quantization Approach

TL;DR

This paper systematically investigates how spatial and phase quantization affect beam granularity in reconfigurable reflectarray radars, demonstrating that quantization improves angular resolution and benefits beam-tracking applications.

Contribution

It provides a theoretical analysis and simulation validation of the effects of spatial and phase quantization on beam granularity in RRA radars, offering new insights for radar design.

Findings

Quantization reduces beam granularity and improves angular resolution.

Both spatial and phase quantization significantly impact beam characteristics.

Results support enhanced beam-tracking in radar and communication systems.

Abstract

In this paper, the impacts of spatial quantization and phase quantization on the beam granularity characteristic of reconfigurable reflectarray (RRA) radars are systematically investigated. From the perspective of the difference beam, a theoretical analysis is conducted to derive the factors influencing beam granularity. To validate the theoretical findings, simulations are performed under various quantization scenarios: specifically, 1-bit, 2-bit, and 3-bit spatial quantization with 1-bit phase quantization, as well as 1-bit, 2-bit, and 3-bit phase quantization with 1-bit spatial quantization. The experimental results demonstrate that both spatial quantization and phase quantization effectively reduce beam granularity in reconfigurable reflectarray radars, thereby enhancing the angular resolution of the beam. These findings offer valuable insights and practical reference for beam-tracking applications in radar and communications.