Turbo Equalization Based on a Combined VMP-BP Algorithm for Nonlinear Satellite Channels

Long, Zheren; Wu, Nan; Wang, Hua; Guo, Qinghua

doi:10.1109/access.2018.2849147

Cited by 5 publications

(11 citation statements)

References 35 publications

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“…where y (t) is the received signal, r (t) and φ (t) are the amplitude and phase of the modulated signal, respectively, n (t) is the complex-valued additive white Gaussian noise (AWGN) with zero mean and variance N 0 /2 per dimension [27,28]. A [r (t)] and Φ [r (t)] are the AM/AM and AM/PM conversions of the non-linear model, expressed as Equations 3and 4, respectively [26].…”

Section: System Modelmentioning

confidence: 99%

Design of Nonequiprobable High-Order Constellations over Non-Linear Satellite Channels

Chen

Han

et al. 2020

Electronics

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High-order modulations are essential to improve the bandwidth efficiency of communication systems. However, such modulated signals with large envelopes are typically sensitive to the non-linear distortion caused by high power amplifiers (HPAs) in the transponder of satellite channels. In this paper, a new nonequiprobable constellation is designed to combat the non-linear effects of HPAs. We use non-uniformly distributed symbols to construct the appropriate high-order constellation for non-linear satellite channels. The nonequiprobable symbols are generated using the non-linear mapping method, which specifically consists of expansion mapping, symbol decomposition, permutation, and combination. Moreover, the demapping method adapting to the designed nonequiprobable constellation is also discussed. The simulation results show that the proposed scheme has considerable performance improvements compared with the traditional equiprobable constellations over the non-linear satellite channel.

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Section: System Modelmentioning

confidence: 99%

Design of Nonequiprobable High-Order Constellations over Non-Linear Satellite Channels

Chen

Han

et al. 2020

Electronics

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“…The Volterra model for chaotic time series is a good solution. It could not only solve the non-stationary problem of signals but also greatly relieves the computational complexity and improves the computing speed [10].…”

Section: B Volterra Model For Chaotic Time Seriesmentioning

confidence: 99%

“…The chaotic attractors in the two-phase spaces show diffeomorphism. Therefore, it is feasible to attain the state at the next moment in time according to the current state of the system, thus acquiring the predicted value of a time series at the next moment [10]. Essentially, the prediction using a chaotic time series is an inverse problem of dynamic systems, that is, reconstructing the dynamic model F[X(n)] of the system according to the state of the dynamic system, namely,…”

Section: B Volterra Model For Chaotic Time Seriesmentioning

confidence: 99%

“…There are many methods available for constructing a nonlinear function to approach to F[X(n)]. In this study, by using the Volterra series expansion [10], a non-linear prediction model F[X(n)] for a chaotic time series is established. The input and output of the non-linear discrete system are set to X…”

Section: B Volterra Model For Chaotic Time Seriesmentioning

confidence: 99%

“…By using a normalised adaptive algorithm with least mean square residuals, the exact value of the coefficient vec-torW(n) can be obtained. Under this circumstance, W(n) contains important information characterising the state of the system [10].…”

Section: B Volterra Model For Chaotic Time Seriesmentioning

confidence: 99%

See 2 more Smart Citations

A Method for Diagnosing Mechanical Faults of on-Load Tap Changer Based on Ensemble Empirical Mode Decomposition, Volterra Model and Decision Acyclic Graph Support Vector Machine

Zhou

Geng

et al. 2019

IEEE Access

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A method combined ensemble empirical mode decomposition, Volterra model and decision acyclic graph support vector machine was proposed to improve adaptability, feature resolution, and identification accuracy when diagnosing mechanical faults in an on-load tap changer of a transformer. In detail, the ensemble empirical mode decomposition algorithm was applied to decompose the multichannel vibration signals in the switchover process of the on-load tap changer. Then, a Volterra model for the mechanical state of the on-load tap changer was established based on time-frequency characteristics obtained through the use of the ensemble empirical mode decomposition algorithm. Moreover, a matrix of coefficient vectors was also used in the Volterra model. This method will not only reduce the aliasing effect of empirical mode decomposition but also obtain high-resolution characteristics of nonstationary vibration signals. Furthermore, taking the singular values of the Volterra coefficient matrix as the fault characteristic, the data states of the model for diagnosing the on-load tap changer were automatically classified and identified by establishing a rapid, multi-classification decision acyclic graph support vector machine model with a low misjudgment rate. Finally, based on a certain on-load tap changer, the test platform for simulating mechanical faults was built. On this basis, by using the proposed method, the vibration signals generated due to typical mechanical faults, such as loosening of moving contacts, lessening of transition contact, and motor jam were acquired and analyzed, thus validating the effectiveness of the method through case studies. Compared with other methods, the new method could overcome many defects in existing methods and it has higher fault identification accuracy.INDEX TERMS Mechanical variables measurement, signal processing algorithms, fault diagnosis, electromechanical devices, support vector machines, power transformers, switches, time series analysis.

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Low Complexity Message Passing Receiver for Faster-Than-Nyquist Signaling in Nonlinear Channels

Xiao¹,

Yuan

Yang

et al. 2018

IEEE Access

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Turbo Equalization Based on a Combined VMP-BP Algorithm for Nonlinear Satellite Channels

Cited by 5 publications

References 35 publications

Design of Nonequiprobable High-Order Constellations over Non-Linear Satellite Channels

Design of Nonequiprobable High-Order Constellations over Non-Linear Satellite Channels

A Method for Diagnosing Mechanical Faults of on-Load Tap Changer Based on Ensemble Empirical Mode Decomposition, Volterra Model and Decision Acyclic Graph Support Vector Machine

Low Complexity Message Passing Receiver for Faster-Than-Nyquist Signaling in Nonlinear Channels

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