Analysis of Sub-Sampling PLL False Lock and Lock-in Range Estimation

The Sub-sampling PLL (SSPLL) has attracted significant interest from researchers due to its low phase error and high operating frequency. However, the sub-sampling phase detector (SSPD) is sensitive only to phase error, not frequency error, which may cause false locking into undesired frequencies. This paper provides a detailed analysis of the sub-sampling process and discusses false locking scenarios. Furthermore, the lock-in range, which is the boundary between the system's linear and non-linear behavior, is also investigated. It is a key characteristic of system stability and a constraint in the design of auxiliary devices. This paper develops a state-space model that considers the sinusoidal characteristics of the SSPD to analyze frequency acquisition behavior and estimate the lock-in range.

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Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11043672
Primary Topic
Advanced Photonic Communication Systems
Type
article
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article

Analysis of Sub-Sampling PLL False Lock and Lock-in Range Estimation

Tian Xia, Wenzhe Chen
Advanced Photonic Communication Systems
article

Analysis of Sub-Sampling PLL False Lock and Lock-in Range Estimation

Tian Xia, Wenzhe Chen
article en

Abstract

The Sub-sampling PLL (SSPLL) has attracted significant interest from researchers due to its low phase error and high operating frequency. However, the sub-sampling phase detector (SSPD) is sensitive only to phase error, not frequency error, which may cause false locking into undesired frequencies. This paper provides a detailed analysis of the sub-sampling process and discusses false locking scenarios. Furthermore, the lock-in range, which is the boundary between the system's linear and non-linear behavior, is also investigated. It is a key characteristic of system stability and a constraint in the design of auxiliary devices. This paper develops a state-space model that considers the sinusoidal characteristics of the SSPD to analyze frequency acquisition behavior and estimate the lock-in range.

University of Vermont (US)
Openalex Percentile: Top 87%
Advanced Photonic Communication Systems
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Analysis of Sub-Sampling PLL False Lock and Lock-in Range Estimation — Tian Xia, Wenzhe Chen · (2025) | TGRS Research Map | TGRS