Abstract
Digital phase-locked loops (DPLLs) have been commonly used to estimate phase information. However, they exhibit poor performance or, occasionally, a divergence phenomenon, if noise information is incorrect or if there are quantization effects. To overcome the weaknesses of existing DPLLs, we propose a new DPLL with a finite-memory structure called the unbiased finite-memory DPLL (UFMDPLL). The UFMDPLL is independent of noise covariance information, and it shows intrinsic robustness properties against incorrect noise information and quantization effects due to the finite-memory structure. Through numerical simulations, we show that the proposed DPLL is more robust against incorrect noise information and quantization effects than the conventional DPLLs are.
| Original language | English |
|---|---|
| Article number | 7410011 |
| Pages (from-to) | 798-802 |
| Number of pages | 5 |
| Journal | IEEE Transactions on Circuits and Systems II: Express Briefs |
| Volume | 63 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 2016 Aug |
Bibliographical note
Funding Information:This work was supported in part by the National Research Foundation (NRF) through the Ministry of Science, ICT, and Future Planning under Grant NRF- 2014R1A1A1006101; by the Human Resources Program in Energy Technology through the Korea Institute of Energy Technology Evaluation and Planning within the Ministry of Trade, Industry, and Energy, South Korea, under Grant 20154030200610; by the National Natural Science Foundation of China under Grant 61573112; and by the Australian Research Council under Grant DP140102180, Grant LP140100471, and Grant LE150100079.
Publisher Copyright:
© 2004-2012 IEEE.
Keywords
- Digital phase-locked loop (DPLL)
- finite-memory structure
- unbiasedness
ASJC Scopus subject areas
- Electrical and Electronic Engineering
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