Bayesian Optimization for Nonlinear System Identification and Pre-Distortion in Cognitive Transmitters
نویسندگان
چکیده
We present a digital signal processing (DSP) scheme that performs hyperparameter tuning (HT) via Bayesian optimization (BO) to autonomously optimize memory tap distribution of Volterra series and adapt parameters used in the synthetization pre-distortion (DPD) filter for optical transmitters. Besides providing time-efficient technique, this work demonstrates self-adaptation DPD hyperparameters correct component-induced nonlinear distortions as different driver amplifier (DA) gains, symbol rates modulation formats are used, leads an improvement transmitter performance. The has been validated back-to-back (b2b) experiments using dual-polarization (DP) 64 256 quadrature amplitude (QAM) formats, 80 GBd. For DP-64QAM at GBd, it is shown reduces required signal-to-noise ratio (OSNR) bit error 10 -2 by 0.9 dB 0.6 with respect linear heuristic approach, respectively. Moreover, we show proposed approach also complexity 75% conjunction use polynomials (MP), while achieving similar performance filters.
منابع مشابه
Modelling and Identification of a Nonlinear Power-amplifier with Memory for Nonlinear Digital Adaptive Pre-distortion
In this paper a comparison between a memoryless nonlinear power amplifier model and a special nonlinear model with memory (Wiener-model) based on measurements on a power amplifier is presented. With moderate signal bandwidths of only 2MHz the nonlinear model with memory outperforms the memoryless model. The amplifier model is intended to be used for pre-distortion purposes. Furthermore, an adap...
متن کاملBayesian design of experiments for nonlinear dynamic system identification
In this contribution different methods to excite dynamic systems are presented. Model-based/model-free and offline/online design plans are discussed and methods to optimize design plans with respect to the intended use are introduced. The presented design plans are appropriate to identify the dynamics of combustion engines and are evaluated by simulation and practical examples.
متن کاملNonlinear System Identification through Backbone curves and Bayesian Interference
Nonlinear structures exhibit complex behaviors that can be predicted and analyzed once a mathematical model of the structure is available. Obtaining such a model is a challenge. Several works in the literature suggest different methods for the identification of nonlinear structures. Some of the methods only address the question of whether the system is linear or not, other are more suitable for...
متن کاملNonlinearity mitigation for high-speed optical OFDM transmitters using digital pre-distortion.
Optical orthogonal frequency-division multiplexing (OOFDM) signal is sensitive to nonlinear distortions induced by optical modulators. We propose and experimentally demonstrate a digital pre-distortion (DPD) algorithm to linearize the optical modulators including electro-absorption modulated lasers (EML) and Mach-Zehnder modulators (MZM) used in high-speed OOFDM transmitters. By using an adapti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Lightwave Technology
سال: 2021
ISSN: ['0733-8724', '1558-2213']
DOI: https://doi.org/10.1109/jlt.2021.3083676