Lms-Based Algorithms

Diniz, Paulo S. R.

doi:10.1007/978-0-387-68606-6_4

Cited by 14 publications

(24 citation statements)

References 44 publications

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“…At the beginning of each communication session, a training stage is required. However, with the learning process converging, less and less feedback is needed and some low complexity techniques such as set-membership (SM) [35], [36] can be used to further improve the data rate. Except for the local CSI, the proposed algorithms have extremely low computational complexity, which is especially important for relay nodes comprised of mobile handsets.…”

Section: ) Consistent Cmb (Ccmb) Adaptive Algorithm: By Takingmentioning

confidence: 99%

Adaptive Distributed Beamforming for Relay Networks Based on Local Channel State Information

Zhang

Liu

Quddus

et al. 2015

IEEE Trans. on Signal and Inf. Process. over Networks

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Abstract. Most of the existing distributed beamforming algorithms for relay networks require global channel state information (CSI) at relay nodes and the overall computational complexity is high. In this paper, a new class of adaptive algorithms is proposed which can achieve a globally optimum solution by employing only local CSI. A reference signal based (RSB) scheme is first derived, followed by a constant modulus (CM) based scheme when the reference signal is not available. Considering individual power transmission constraint at each relay node, the corresponding constrained adaptive algorithms are also derived as an extension. An analysis of the overhead and stepsize range for the derived algorithms are then provided and the excess mean square error (EMSE) for the RSB case is studied based on the energy reservation method. As demonstrated by our simulation results, a better performance has been achieved by our proposed algorithms and they have a very low computational complexity and can be implemented on low cost and low processing power devices.

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Section: ) Consistent Cmb (Ccmb) Adaptive Algorithm: By Takingmentioning

confidence: 99%

Adaptive Distributed Beamforming for Relay Networks Based on Local Channel State Information

Zhang

Liu

Quddus

et al. 2015

IEEE Trans. on Signal and Inf. Process. over Networks

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“…The mathematical model (4) can be derived with the use of any variant of LMS algorithms proposed in literature (Appolinario, 2009;Diniz, 2008;Ljung, Söderström, 1983;Söderström, Stoica, 1994). The two most important performance criterions of adaptive algorithms used in identification are the convergence speed and the misadjustment.…”

Section: Identification Of the Systemmentioning

confidence: 99%

“…Several approaches to solving this problem have been reported (Appolinario, 2009;Diniz, 2008;Isserman, 1982), however, the number of practical applications is still low, especially for high order systems. Among all the adaptive control algorithms there are the so-called selftuning controllers (STC) which are a promising alternative for the still preferred classic methods of control and regulation.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Vibration Control Procedure Based on Symbolic Solution of Diophantine Equation

Leniowska¹

2011

Archives of Acoustics

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In this paper, the adaptive control based on symbolic solution of Diophantine equation is used to suppress circular plate vibrations. It is assumed that the system to be regulated is unknown. The plate is excited by a uniform force over the bottom surface generated by a loudspeaker. The axially-symmetrical vibrations of the plate are measured by the application of the strain sensors located along the plate radius, and two centrally placed piezoceramic discs are used to cancel the plate vibrations. The adaptive control scheme presented in this work has the ability to calculate the error sensor signals, to compute the control effort and to apply it to the actuator within one sampling period. For precise identification of system model the regularized RLS algorithm has been applied. Self-tuning controller of RST type, derived for the assumed system model of the 4th order is used to suppress the plate vibration. Some numerical examples illustrating the improvement gained by incorporating adaptive control are demonstrated.

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“…DFEs offer a good compromise between complexity and performance [26], and can be applied to any modulation format. Linear decision feedback approaches (DFEs with linear filters) have been used before in related fields such as wireless optical communication [27] or channel estimation for OFDM [28].…”

Section: Feedback Equalizermentioning

confidence: 99%

“…The basic decision feedback equalizer (DFE) structure contains two filters [26], a feed forward filter (FFF), a feedback filter (FBF) and also includes a nonlinear decision device. The FBF feeds back a function of the decisions on the past symbols.…”

Section: Dfe Structure and Coefficient Tuningmentioning

confidence: 99%

Nonlinear Signal-Noise Interaction in Optical Fiber Transmission

Maiti

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In a long-haul optical fiber communication system, fiber attenuation, dispersion, and nonlinearity combine with non-deterministic noise from optical amplifiers used for periodic regeneration and cause adverse effects on system performance. In this dissertation, we study and mitigate such undesirable effects.We present a modified nonlinear decision feedback equalizer designed for use in a legacy optical communication system with periodic dispersion compensation.The effects of noise and nonlinearity on the equalizer coefficients are investigated, and a suboptimal convergence algorithm to reduce such effects is proposed and verified.Noting the limited ability of existing signal processing tools to combat signalnoise nonlinear interaction effects, we next consider a fundamental scenario to study these effects. We apply Gaussian mixture modeling (GMM) techniques to better understand how noise interacts with the signal in a nonlinear optical fiber span. We validate our technique and learn that at higher levels of nonlinearity, the GMM analysis is more accurate than an additive Gaussian noise or a Volterra series transfer function model.Finally we present an approach to generalize our analysis. We validate our claims that transmitting a small number of pulses is a good approach to predict the analysis of a practical communication system. We also show that using a 3-or higher-order GMM is necessary to fully understand the nonlinear interaction.

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Lms-Based Algorithms

Cited by 14 publications

References 44 publications

Adaptive Distributed Beamforming for Relay Networks Based on Local Channel State Information

Adaptive Distributed Beamforming for Relay Networks Based on Local Channel State Information

An Adaptive Vibration Control Procedure Based on Symbolic Solution of Diophantine Equation

Nonlinear Signal-Noise Interaction in Optical Fiber Transmission

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