Parameter Estimation of Communication Signal in Alpha-stable Distribution Noise Environment

He, Junfeng; Du, Panpan; Chen, Xing

doi:10.1109/cis.2017.00047

Cited by 5 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The network then alternates between DenseBlock and transition layers. The last layer of the network is a global average pooling layer with a 7 × 7 kernel size [42], followed by a fully connected layer with 1000 units and a SoftMax classification layer. The basic structure of DenseNet is illustrated in Figure 10.…”

Section: Specific Applications and Performance Analysismentioning

confidence: 99%

A Distributed Sensor System Based on Cloud-Edge-End Network for Industrial Internet of Things

Wang

Lin

et al. 2023

Future Internet

View full text Add to dashboard Cite

The Industrial Internet of Things (IIoT) refers to the application of the IoT in the industrial field. The development of fifth-generation (5G) communication technology has accelerated the world’s entry into the era of the industrial revolution and has also promoted the overall optimization of the IIoT. In the IIoT environment, challenges such as complex operating conditions and diverse data transmission have become increasingly prominent. Therefore, studying how to collect and process a large amount of real-time data from various devices in a timely, efficient, and reasonable manner is a significant problem. To address these issues, we propose a three-level networking model based on distributed sensor self-networking and cloud server platforms for networking. This model can collect monitoring data for a variety of industrial scenarios that require data collection. It enables the processing and storage of key information in a timely manner, reduces data transmission and storage costs, and improves data transmission reliability and efficiency. Additionally, we have designed a feature fusion network to further enhance the amount of feature information and improve the accuracy of industrial data recognition. The system also includes data preprocessing and data visualization capabilities. Finally, we discuss how to further preprocess and visualize the collected dataset and provide a specific algorithm analysis process using a large manipulator dataset as an example.

show abstract

Section: Specific Applications and Performance Analysismentioning

confidence: 99%

A Distributed Sensor System Based on Cloud-Edge-End Network for Industrial Internet of Things

Wang

Lin

et al. 2023

Future Internet

View full text Add to dashboard Cite

show abstract

“…With alpha-stable noise, the modulation classification of signal is very challenging. In [17], a joint estimation algorithm based on the generalized cyclic spectrum is proposed. In [18], a new method based on explicit countless cost function and global optimization is designed.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Signal Classification in Industrial Distributed Wireless Sensor Networks Based Industrial Internet of Things

Liu

Yang

Zhao

et al. 2021

IEEE Trans. Ind. Inf.

View full text Add to dashboard Cite

show abstract

“…He et al [23] devised an algorithm for joint estimation of carrier frequency and symbol rate of BPSK signal in the presence of alpha-stable noise. In [24], Yang et al employed explicit myriad cost function and a global optimization method for synchronization parameters estimation of MSK signal in the presence of alpha-stable noise.…”

Section: Introductionmentioning

confidence: 99%

Blind Parameter Estimation of M-FSK Signals in the Presence of Alpha-Stable Noise

Zhang

Zhao

Liu

et al. 2020

IEEE Trans. Commun.

View full text Add to dashboard Cite

show abstract

Parameter Estimation of Communication Signal in Alpha-stable Distribution Noise Environment

Cited by 5 publications

References 7 publications

A Distributed Sensor System Based on Cloud-Edge-End Network for Industrial Internet of Things

A Distributed Sensor System Based on Cloud-Edge-End Network for Industrial Internet of Things

Intelligent Signal Classification in Industrial Distributed Wireless Sensor Networks Based Industrial Internet of Things

Blind Parameter Estimation of M-FSK Signals in the Presence of Alpha-Stable Noise

Contact Info

Product

Resources

About