Analysis of short-term polarization stability using Allan variance

被引:0
|
作者
Vidal, Borja [1 ]
机构
[1] Univ Politecn Valencia, Nanophoton Technol Ctr, Camino Vera,Sn, Valencia 46022, Spain
来源
OPTICS EXPRESS | 2024年 / 32卷 / 10期
关键词
MODE DISPERSION; TRANSIENTS; SIMULATION; NOISE; DRIFT; PMD;
D O I
10.1364/OE.505502
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The application of Allan variance to characterize the stability of optical signals affected by stochastic polarization fluctuations and the identification of the underlying power law noise processes is explored. Allan variance can ease the comparison regarding polarization stability of optical systems affected by polarization noise and define a near -optimum integration interval to reveal trends. Examples of the application of Allan variance to optical systems with stable polarization conditions show that white noise and random walk terms can be observed. Additionally, experiments show that the three Stokes parameters can exhibit different statistical behaviors in the Brownian -noise regime. Allan analysis can easily be used to define, in real-time systematically, the denoising strategy in polarization -based sensing and for the optimization of polarization -sensitive optical systems instead of the conventional approach relying on heuristics or information criteria. (c) 2024 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement
引用
收藏
页码:17260 / 17273
页数:14
相关论文
共 50 条
  • [21] A short-term building cooling load prediction method using deep learning algorithms
    Fan, Cheng
    Xiao, Fu
    Zhao, Yang
    APPLIED ENERGY, 2017, 195 : 222 - 233
  • [22] LOMBARD SPEECH SYNTHESIS USING LONG SHORT-TERM MEMORY RECURRENT NEURAL NETWORKS
    Bollepalli, Bajibabu
    Airaksinen, Manu
    Alku, Paavo
    2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2017, : 5505 - 5509
  • [23] Vehicle-induced deflection prediction using long short-term memory networks
    Xu, Xiang
    Xu, Donghui
    Caballero, Antonio
    Ren, Yuan
    Huang, Qiao
    Chang, Weijie
    Forde, Michael C.
    STRUCTURES, 2023, 54 : 596 - 606
  • [24] ANNUAL ASSESSMENT OF HIGHWAY TRAFFIC NOISE USING TWO CHANNEL SHORT-TERM MEASUREMENTS
    Jagniatinskis, Aleksandras
    Fiks, Boris
    Dimitriu, Delia
    TRANSPORT, 2014, 29 (02) : 204 - 211
  • [25] Statistical downscaling of precipitation using long short-term memory recurrent neural networks
    Misra, Saptarshi
    Sarkar, Sudeshna
    Mitra, Pabitra
    THEORETICAL AND APPLIED CLIMATOLOGY, 2018, 134 (3-4) : 1179 - 1196
  • [26] Multifractal Analysis of Short-term Wind Speed Time Series with Different Sampling Frequencies
    Zeng, Ming
    Zhang, Xiaonei
    Li, Jinghai
    Meng, Qinghao
    PROCEEDINGS OF THE 2016 12TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2016, : 3213 - 3218
  • [27] Using Short-Term Fourier Transform for Particle Detection and Recognition in a CMOS Oscillatorbased Chain
    Aziza, H.
    Coulie, K.
    Rahajandraibe, W.
    Vauche, R.
    2018 IEEE 19TH LATIN-AMERICAN TEST SYMPOSIUM (LATS), 2018,
  • [28] A short-term building energy consumption prediction and diagnosis using deep learning algorithms
    Li, Xiang
    Yu, Junqi
    Wang, Qian
    Dong, Fangnan
    Cheng, Renyin
    Feng, Chunyong
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2022, 43 (05) : 6831 - 6848
  • [29] Novel short-term solar radiation hybrid model: Long short-term memory network integrated with robust local mean decomposition
    Anh Ngoc-Lan Huynh
    Deo, Ravinesh C.
    Ali, Mumtaz
    Abdulla, Shahab
    Raj, Nawin
    APPLIED ENERGY, 2021, 298
  • [30] Prediction of students' short-term memory in interdependence with noise
    Fosnaric, Samo
    Planinsec, Jurij
    STUDIA PSYCHOLOGICA, 2006, 48 (04) : 303 - 310