Widely Linear Complex-Valued Diffusion Subband Adaptive Filter Algorithm

Wen, Pengwei; Zhang, Jiashu

doi:10.1109/tsipn.2018.2873242

Cited by 22 publications

(4 citation statements)

References 34 publications

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“…In order to deal with circular and non-circular complexvalued signals effectively, the D-ACNSAF 1 algorithm is introduced according to the adaptive-then-combine (ATC) diffusion strategy [24] Adaptive step:…”

Section: Problem Formulationmentioning

confidence: 99%

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Diffusion ACNSAF Algorithm for Secure Distributed Estimation Under Complex-Valued Attacks

Wen

Zhang

et al. 2020

IEEE Access

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Section: Problem Formulationmentioning

confidence: 99%

“…Considering that the estimated weights will converge to the deviation of the optimum weights under attacks, by using the principle of "consistency" [24], attacks that occur at nodes or communications can be detected. Firstly, defining the random error variable s k,l (n) as follows…”

Section: B Sd-acnsaf Algorithmmentioning

confidence: 99%

Diffusion ACNSAF Algorithm for Secure Distributed Estimation Under Complex-Valued Attacks

Wen

Zhang

et al. 2020

IEEE Access

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“…It also allows for a significant reduction in network size 41,42 . Consequently, systems that involve complex‐valued elements have received extensive research and application attention 43,44,45,46 …”

Section: Introductionmentioning

confidence: 99%

Novel adaptive filter design for complex‐valued network systems under hybrid cyber attacks

Dai,

Lu,

Zhou

2023

Optim Control Appl Methods

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This paper is concerned with the problem of designing adaptive event‐triggered filter for complex‐valued network system under complex‐valued hybrid cyber attack. Firstly, the main contribution of the article is to propose a complex‐valued adaptive event triggered strategy to improve the resource utilisation in the network channel. Secondly, during the modeling process of the filtering error model, we introduce complex‐valued stochastic deception attacks and replay attacks that follow the Bernoulli distribution, thereby forming the complex‐valued hybrid network attacks investigated in this paper. Sufficient conditions for the asymptotic stability of the designed complex‐valued filtered error system are derived using Lyapunov stability theory. In addition, the parameters of the filter are derived using the linear matrix inequality (LMI) method. Finally, a numerical simulation example is given to verify the feasibility of the proposed method.

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“…Although the DAPA and DSAF can improve the convergence when the input is colored, the complexity for DAPA is increased. DSAF is more popular because of its simple computational complexity that is similar to the DLMS [11][12][13][14][15]. However, the above mentioned algorithms are all developed based on the l 2 -norm optimization criterion, whose performance will be seriously degraded under non-Gaussian interference.…”

Section: Introductionmentioning

confidence: 99%

Diffusion Correntropy Subband Adaptive Filtering (SAF) Algorithm over Distributed Smart Dust Networks

Guo

2019

Symmetry

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The diffusion subband adaptive filtering (DSAF) algorithm has attracted much attention in recent years due to its decorrelation ability for colored input signals. In this paper, a modified DSAF algorithm using the symmetry maximum correntropy criterion (MCC) with individual weighting factors is proposed and discussed to combat impulsive noise, which is denoted as the MCC-DSAF algorithm. During the iterations, the negative exponent in the Gaussian kernel of the MCC-DSAF eliminates the interference of outliers to provide a robust performance in non-Gaussian noise environments. Moreover, in order to enhance the convergence for sparse system identifications, a variant of MCC-DSAF named as improved proportionate MCC-DSAF (MCC-IPDSAF) is presented and investigated, which provides a dynamic gain assignment matrix in the MCC-DSAF to adjust the weighted values of each coefficient. Simulation results verify that the newly presented MCC-DSAF and MCC-IPDSAF algorithms are superior to the popular DSAF algorithms.

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Widely Linear Complex-Valued Diffusion Subband Adaptive Filter Algorithm

Cited by 22 publications

References 34 publications

Diffusion ACNSAF Algorithm for Secure Distributed Estimation Under Complex-Valued Attacks

Diffusion ACNSAF Algorithm for Secure Distributed Estimation Under Complex-Valued Attacks

Novel adaptive filter design for complex‐valued network systems under hybrid cyber attacks

Diffusion Correntropy Subband Adaptive Filtering (SAF) Algorithm over Distributed Smart Dust Networks

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