Weight Hybrid Architecture of Rydberg-Atomic Sensors
Hao Wu, Xinyuan Yao, Shanchi Wu, Rui Ni, Chen Gong, Kaibin Huang

TL;DR
This paper introduces a weight hybrid architecture for Rydberg-atomic sensors that enhances signal detection by effectively mitigating hardware-induced correlated noise through a novel four-channel combining scheme.
Contribution
The paper proposes a universal four-channel combining scheme using maximum likelihood estimation to improve Rydberg-atomic sensor performance in noisy environments.
Findings
Effective noise mitigation from laser and hardware sources.
Robust signal extraction under correlated noise conditions.
Universal applicability to various Rydberg receiver types.
Abstract
Rydberg atomic quantum receivers have been seen as novel radio frequency measurements and the high sensitivity to a large range of frequencies makes it attractive for communications reception. However, their performance can be significantly degraded by hardware-induced noise, particularly the noise from laser, which impacts the overall system noise floor and exhibits correlation. To address this challenge, this paper proposes a weight hybrid (WH) architecture for Rydberg-atomic sensors, a novel four-channel combining scheme designed for atomic sensors operating in correlated noise environments. By jointly processing dual signal channels and dual noise reference channels, the WH architecture effectively mitigates noise contributions from lasers and other hardware components. All channels are optimally combined via maximum likelihood estimation within an expectation maximization…
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