Power line identification of millimeter wave radar based on PCA-GS-SVM

1st International Conference on Frontiers of Materials Synthesis and Processing

材料科学;化学

Fang, Fang^1 ; Zhang, Guifeng^2 ; Cheng, Yansheng^3

Nanjing University of Science and Technology, Nanjing

510000, China^1

China Southern Power Grid Company Limited, Guangzhou

510000, China^2

Tianjin Zhongwei Aerospace Data System Technology Company Limited, Tianjin

300000, China^3

关键词: Algorithm efficiency;    Grid-search method;    Low-altitude flight;    Matlab simulations;    Millimeter wave radar;    Optimized parameter;    Recognition accuracy;    Support vector machine classifiers;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/274/1/012139/pdf
DOI  :  10.1088/1757-899X/274/1/012139

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Aiming at the problem that the existing detection method can not effectively solve the security of UAV's ultra low altitude flight caused by power line, a power line recognition method based on grid search (GS) and the principal component analysis and support vector machine (PCA-SVM) is proposed. Firstly, the candidate line of Hough transform is reduced by PCA, and the main feature of candidate line is extracted. Then, upport vector machine (SVM is) optimized by grid search method (GS). Finally, using support vector machine classifier optimized parameters to classify the candidate line. MATLAB simulation results show that this method can effectively identify the power line and noise, and has high recognition accuracy and algorithm efficiency.