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Underwater acoustic (UWA) channel is a complex time-space- and frequency-variant channel, which is one of the most difficult wireless communication channels so far. Coherent communication has become a hotspot in high speed underwater acoustic communication. To achieve the low bit error rate and high data transmission rate, the channel equalization technique must be introduced for coherent underwater...
The distributed incremental affine projection algorithm (DIAPA) with constant step size inevitably encounters the conflict between the fast convergence rate and low steady-state misalignment. Thus, this paper proposes an adaptive combination of step sizes for distributed incremental affine projection algorithm (ACSS-DIAPA), which is updated by effectively employing a mixing parameter to combine the...
In this paper, the problem of echo cancellation in long acoustic impulse responses (AIRs) is highlighted. Three of the mostly-used recent NLMS-based sparse adaptive filtering algorithms are presented; and their performances in the context of acoustic echo cancellation (AEC) are studied and compared. The algorithms of interest include the improved proportionate normalized least mean square (IPNLMS),...
Correntropy induced metric (CIM) criterion has been extensively studied for measuring the sparsity property of the in-nature sparse signals. In this paper, a CIM constrained l2–lp (CIM-L2LP) adaptive filtering algorithm is proposed and its convergence analysis is given in detail. By using a CIM penalty, the CIM-L2LP algorithm achieves improved convergence speed while it maintains a lower steady state...
A novel reaching law of sliding mode control is proposed by using saturation function and power term in this paper, which aims at reducing chatting phenomenon and fastening convergence speed. It is indicated through theoretical analysis that the system under the proposed reaching law has existence and accessibility. The convergence speed is calculated in detail. The sliding mode control system of...
In this paper, a variable step size LMS algorithm was introduced to eliminate the coupling interference of torpedo active electromagnetic fuze system. The variable step size will increase or decrease according to the residual error, which can achieve a faster convergence rate, a smaller steady-state error and a better adaptability to the signal-to-interference ratio (SIR) than the fixed step size...
In the paper a modification enabling acceleration of the rate of convergence for LMS-like on-line identification and adaptation algorithms is proposed. This is based on an artificial decaying of initial conditions in recursive identification as well as adaptation algorithms. The decaying is done using a set of the most recent measurements. Properties of the algorithms with the proposed modification...
This paper proposes a new Newton-based adaptive filtering algorithm, namely the Quasi-Newton Least-Mean Fourth (QNLMF) algorithm. The main goal is to have a higher order adaptive filter that usually fits the non-Gaussian signals with an improved performance behavior, which is achieved using the Newton numerical method. Both the convergence analysis and the steady-state performance analysis are derived...
This paper proposes a new method of reducing the steady-state error for the Affine Projection Algorithm (APA) using Error Reduction Factor (ERF) to yield Error Reduction Affine Projection Algorithm (ER-APA). The proposed method is very simple but highly effective. In the paper, we analyze the ER-APA for calculating theoretical filter convergence. Through experiments, it is shown that the ER-APA sufficiently...
A discrete Fourier transform (DFT) enhanced complex least mean square (CLMS) algorithm, which utilizes the underlying time series relationship among the consecutive fundamental DFT components, is proposed to adaptively mitigate the spur pollution in multi-standard transceivers. The transient and steady-state performances of the proposed algorithm are investigated, demonstrating faster convergence...
This paper presents novel constrained consensus least mean square (cLMS) algorithms with adjustable constraints that can improve the learning performance of distributed estimation problems in sensor networks by exploiting the spatial diversity of the estimates. For the first algorithm, the constraint vectors are adjusted by combining the components of the estimate orthogonal to its neighbor estimates...
A sparsity-aware proportionate normalized maximum correntropy criterion (PNMCC) algorithm with lp-norm penalty, which is named as lp-norm constraint PNMCC (LP-PNMCC), is proposed and its crucial parameters, convergence speed rate and steady-state performance are discussed via estimating a typical sparse multipath channel and an typical echo channel. The LP-PNMCC algorithm is realized by integrating...
This work examines the mean-square error performance of diffusion stochastic algorithms under a generalized coordinate-descent scheme. In this setting, the adaptation step by each agent is limited to a random subset of the coordinates of its stochastic gradient vector. The selection of which coordinates to use varies randomly from iteration to iteration and from agent to agent across the network....
This paper investigates the parameter optimal method and design of forward gain with Automatic Gain Control (AGC) for cosite interference cancellation system. The optimal forward gain was calculated and analyzed. With AGC, the couple reference signal can be reduced and the influence of picking up reference to transmitter can be decreased. With the forward gain, the null shift can be suppressed effectively...
A lot of work has been done to design algorithms that utilize three or more anchors to locate the unknownposition sensor nodes. In this paper, we propose a new sensor network node localization technique based on incremental LMS (least mean squared) distributed estimation algorithm with variable step size. In our network topology, the location-aware anchor nodes are deployed along the border of monitoring...
The number of crossband filters controls convergence rate and steady-state MSE of LMS algorithm in subband in the short-time Fourier domain, which necessitates a compromise between them due to its fixed value. Therefore, a decision to adaptively control the number of crossband filters is proposed to provide both fast convergence rate and small steady-state MSE. The advantage of the proposed algorithm...
This paper deals with the real-time steady-state optimization of slow dynamic processes under plant-model mismatch. A novel scheme that iteratively adapts the process set-points (or operating parameters) to attain an economic optimum is proposed. Based on computing the next steady state from the process transient response to the current set-point change, this scheme can significantly reduce the time...
In this paper, we introduce the notion of transfer function for linear hybrid systems in the presence of time-driven periodic jumps. Such concept is employed to extend frequency-domain analysis tools — well-known and extensively used in the context of purely continuous or discrete time systems — to a class of hybrid systems. In particular, knowledge of the transfer function permits firstly the computation...
In networked control systems, the presence of input quantization is a major source of destabilization and performance deterioration of the closed-loop system. In this paper, a continuous state-feedback controller is designed to guarantee not only the stability of the closed-loop system under input quantization but additionally the enforcement of prescribed performance attributes on the output tracking...
This paper proposed the repetitive controller (RC) controlled single-phase micro-grid power converter system with nonlinear load. Conventional RC (CRC) and 4k±1-order harmonic RC (4ı1 RC) added into a propositional controller are chosen as the controllers to achieve micro-grid power balance between dc-side and load, unit power factor, and zero-error grid current tracking its reference. Moreover,...
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