Application and Analysis of Computer Network Technology in Electronic Information Engineering

Kang, Wanjie; Xiao, Jie

doi:10.1007/s00500-022-06775-9

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…With the continuous progress of radar technology, due to the increasing number of radiation sources, and the frequency range extension, there are higher requirements of radar countermeasures [1]- [3]. To achieve advantages over counterparts, it is necessary to accurately sort the radar signals in a short time [4]- [5]. At present, there are many challenges facing radar signal sorting technology, including many modulation parameter variation patterns, high speed, complex waveform variation, overlapping signals and so on.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Radar Signal Sorting Based on K-means Clustering and Cuckoo Search Methods

Deng

Kong

Jiang

et al. 2023

Preprint

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In this paper, a fusion clustering radar signal sorting algorithm is proposed to overcome the shortcoming of the traditional K-means clustering sorting algorithm, which is sensitive to the initial clustering center and easy to fall into a local optimal solution. The improved algorithm combines K-means clustering algorithm and cuckoo search, to reduce the dependence on the initial clustering center and avoid falling into local optimum. Further, a new definition method of fitness function and a new adjustment mechanism of discovery probability are proposed, and sine and cosine guidance are introduced in the process of location updating. The number of clusters is proposed to be adjusted adaptively according to the distance between classes, and the initial cluster center is determined by the data field. Implementation results show that the sorting accuracy of the new algorithm is 96.6%, which is 54% higher than that of the traditional K-means clustering. Compared with PSO-Kmeans, the accuracy is improved by 22%, and the convergence time is reduced by 10 seconds on average.

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Section: Introductionmentioning

confidence: 99%

Implementation of Radar Signal Sorting Based on K-means Clustering and Cuckoo Search Methods

Deng

Kong

Jiang

et al. 2023

Preprint

View full text Add to dashboard Cite

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Finite-time consensus control of second-order multi-agent systems with input saturation constraint

Zhao,

Zhang,

Huang

et al. 2024

Transactions of the Institute of Measurement and Control

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A novel finite-time consensus technique is derived for second-order linear multi-agent systems with input saturation constraints. The hyperbolic tangent–based saturation function is presented for achieving input saturation while reducing the chattering issue of classical saturation functions. The leader-following consensus controller with a single saturation function is constructed to address the issue of saturation level partition between position feedback and velocity feedback. Theoretically, the property of finite-time consensus, bounded input, and smoothness of a closed-form system are proved by the Lyapunov theory in detail. Numerical simulations are conducted to exhibit the effectiveness of the proposed method fully.

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Application and Analysis of Computer Network Technology in Electronic Information Engineering

Cited by 2 publications

References 5 publications

Implementation of Radar Signal Sorting Based on K-means Clustering and Cuckoo Search Methods

Implementation of Radar Signal Sorting Based on K-means Clustering and Cuckoo Search Methods

Finite-time consensus control of second-order multi-agent systems with input saturation constraint

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