Diffusion recursive total least square algorithm over adaptive networks and performance analysis

Li, Lei; Zhao, Haiquan; Lv, Shaohui

doi:10.1016/j.sigpro.2020.107954

Cited by 11 publications

(2 citation statements)

References 40 publications

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“…The popularity of the LMS algorithm is due to its ease of understanding, implementation, and use. At first, the Wiener filter aimed to determine an optimal filter,

, which minimizes the error signal in each iteration [ 43 , 44 ].…”

Section: Methodsmentioning

confidence: 99%

Urban Traffic Noise Analysis Using UAV-Based Array of Microphones

Minea

Dumitrescu

2023

Sensors

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(1) Background: Transition to smart cities involves many actions in different fields of activity, such as economy, environment, energy, government, education, living and health, safety and security, and mobility. Environment and mobility are very important in terms of ensuring a good living in urban areas. Considering such arguments, this paper proposes monitoring and mapping of a 3D traffic-generated urban noise emissions using a simple, UAV-based, and low-cost solution. (2) Methods: The collection of relevant sound recordings is performed via a UAV-borne set of microphones, designed in a specific array configuration. Post-measurement data processing is performed to filter unwanted sound and vibrations produced by the UAV rotors. Collected noise information is location- and altitude-labeled to ensure a relevant 3D profile of data. (3) Results: Field measurements of sound levels in different directions and altitudes are presented in the paperwork. (4) Conclusions: The solution of employing UAV for environmental noise mapping results in being minimally invasive, low-cost, and effective in terms of rapidly producing environmental noise pollution maps for reports and future improvements in road infrastructure.

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“…The popularity of the LMS algorithm is due to its ease of understanding, implementation, and use. At first, the Wiener filter aimed to determine an optimal filter,

, which minimizes the error signal in each iteration [ 43 , 44 ].…”

Section: Methodsmentioning

confidence: 99%

Urban Traffic Noise Analysis Using UAV-Based Array of Microphones

Minea

Dumitrescu

2023

Sensors

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“…Cattivelli and colleagues analyzed these two structures' performance for these two kinds of structures, showing that the ATC scheme outperforms the CTA scheme [8]. Then, the ATC scheme becomes a research focus in distributed adaptive filtering algorithms [8,[10][11][12][13][14][15][16][17]. The Wiener filtering principle is the fundamental of the adaptive filtering algorithm [18], based on the parameter mean square error (MSE) to construct an efficient cost function.…”

Section: Introductionmentioning

confidence: 99%

Diffusion Adaptive Filtering Algorithm Based on the Fair Cost Function

Guan

Cheng²,

Zhao

et al. 2021

Preprint

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To better perform distributed estimation, this paper, by combining the Fair cost function and adapt-then-combine scheme at all distributed network nodes, a novel diffusion adaptive estimation algorithm is proposed from an M-estimator perspective, which is called the diffusion Fair (DFair) adaptive filtering algorithm. The stability of the mean estimation error and the computational complexity of the DFair are theoretically analyzed. Compared with the RDLMS, DNLMM, DGCLD, and DPLMS algorithms, the simulation experiment results show that the DFair algorithm is more robust to input signals and impulsive interference. In conclusion, Theoretical analysis and simulation results show that the DFair algorithm performs better when estimating an unknown linear system in the changeable impulsive interference environments.

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