Signal acquisition and amplitude extraction from high-frequency coupling sinusoidal signal

Changzhu, Song; Hu, Chao; Lin, Weixing; Wang, Xianli; Kaimin, Ruan

doi:10.1109/icinfa.2016.7831967

Cited by 2 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Traditional data processing of high-frequency information mainly adopts a centralized cloud computing data processing method, and its data transmission and processing mechanism can no longer meet the needs of new communication technology in low-voltage substation areas [6][7][8] . On the one hand, there is a long distance between the cloud computing center and the terminal equipment, and the data transmission mode and channel condition are very complicated [9][10] .…”

Section: Introductionmentioning

confidence: 99%

Edge intelligent-based data processing method for high-frequency information acquisition in low-voltage substation area

Ma,

He,

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

View full text Add to dashboard Cite

Aiming at the problem of large data Transmission delay and computation delay in data processing of High-frequency information acquisition in low-voltage substations area, the model of edge intelligent high-frequency information acquisition system is constructed, and a joint optimization method of task unloading strategy and transmission strategy based on mobile edge computing is proposed. With the goal of minimizing system delay, the task unloading and transmission strategy is optimized to achieve two-way rapid detection of multiple power lines, effectively improving system performance.

show abstract

Section: Introductionmentioning

confidence: 99%

Edge intelligent-based data processing method for high-frequency information acquisition in low-voltage substation area

Ma,

He,

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

View full text Add to dashboard Cite

show abstract

Signal extraction method in electromagnetic coupling system based on LM-ABC algorithm

Guo

Lin

et al. 2017

2017 IEEE International Conference on Information and Automation (ICIA)

Self Cite

View full text Add to dashboard Cite

Chirp signals have established diverse applications caused by the capable of producing time-dependent linear frequencies. Most feature extraction transformation methods for chirp signals focus on enhancing the performance of transform methods but neglecting the information derived from the transformation process. Consequently, they may fail to fully exploit the information from observations, resulting in decreased performance under conditions of low signal-to-noise ratio (SNR) and limited observations. In this work, we develop a novel postprocessing method called "mapping information model" to addressing this challenge. The model establishes a link between the observation space and feature space in feature extraction transform, enabling interference suppression and obtain more accurate information by iteratively resampling and assigning weights in both spaces. Analysis of the iteration process reveals a continual increase in weight of signal samples and a gradual stability in weight of noise samples. The demonstration of the noise suppression in the iteration process and feature enhancement supports the effectiveness of the mapping information model. Furthermore, numerical simulations also affirm the high efficiency of the proposed model by showcasing enhanced signal detection and estimation performances without requiring additional observations. This superior model allows amplifying performance within feature extraction transformation for chirp signal processing under low SNR and limited observation conditions, and opens up new opportunities for areas such as communication, biomedicine, and remote sensing.

show abstract

Signal acquisition and amplitude extraction from high-frequency coupling sinusoidal signal

Cited by 2 publications

References 5 publications

Edge intelligent-based data processing method for high-frequency information acquisition in low-voltage substation area

Edge intelligent-based data processing method for high-frequency information acquisition in low-voltage substation area

Signal extraction method in electromagnetic coupling system based on LM-ABC algorithm

Contact Info

Product

Resources

About