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A Low-Latency RDP-CORDIC Algorithm for Real-Time Signal Processing of Edge Computing Devices in Smart Grid
Mingwei Qin1,2, Tong Liu1,2, Baolin Hou1,2
1School of Information Engineering, Southwest University of Science and Technology, Mianyang 621000, China.
Sensors (Basel, Switzerland)
|October 14, 2022
Summary
This study introduces the RDP-CORDIC algorithm for smart grid edge computing. It enhances computational speed and reduces power and resource usage in edge devices.
Area of Science:
- Electrical Engineering
- Computer Science
Background:
- Smart grids require advanced computing solutions due to increasing equipment complexity.
- Edge computing offers low latency and high reliability, making it suitable for smart grids.
- Conventional CORDIC algorithms, while fast, suffer from complex structures and high resource consumption.
Purpose of the Study:
- To propose an improved CORDIC algorithm (RDP-CORDIC) for edge computing in smart grids.
- To address the limitations of traditional CORDIC algorithms, including high iteration counts and resource demands.
- To enhance computational performance and reduce power and resource consumption in edge devices.
Main Methods:
- Developed the RDP-CORDIC algorithm by pre-computing micro-rotation directions.
- Transformed the single-stage iterative structure into a three-stage, multi-stage combined iterative structure.
- Proposed an accuracy compensation algorithm for direction prediction constants to reduce ROM consumption.
Main Results:
- The RDP-CORDIC algorithm demonstrated faster computation speeds compared to conventional CORDIC algorithms.
- Achieved lower resource consumption and higher guaranteed accuracy.
- Effectively reduced power and resource demands for edge computing devices.
Conclusions:
- The RDP-CORDIC algorithm offers significant improvements in computational performance for smart grid edge computing.
- It provides a viable solution for reducing power and resource consumption in edge devices.
- This enhanced algorithm is well-suited for the demanding environment of smart grid systems.
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