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Planar Array Subarray Division Method in Microwave Wireless Power Transmission Based on PSO&K-Means Algorithm
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DOI：10.1109/OJAP.2023.3270970.png)
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Abstract
En 中文
For the problem of maximizing beam collection efficiency in microwave wireless power transmission, a clustering algorithm based on a combination of the particle swarm algorithm and the K-means algorithm is proposed for the subarray partitioning of planar arrays. By minimizing the difference between the subarray beam collection efficiency and the reference beam collection efficiency, the subarray partitioning problem is transformed into an excitation matching problem. Then, the optimal subarray configuration is obtained by using a clustering algorithm that combines the particle swarm algorithm and the K-means algorithm. The effectiveness of the proposed method is evaluated by integrating the beam collection efficiency with parameters such as the receiving area and the size of the planar array. The superiority of the proposed method is demonstrated by a comparison with other advanced methods.
Keywords:
Clustering algorithms
Microwave antenna arrays
Transmitting antennas
Partitioning algorithms
Receiving antennas
Planar arrays
Wireless power transmission
Microwave wireless power transmission (MWPT)
planar array antenna
INDEX TERMS
particle swarm optimization algorithm (PSO)
K-means clustering algorithm
beam collection efficiency (BCE)
Journal
I
IF:
3.6
Papers:
823
Citations:
1.6K
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