Efficient Support Vector Regression for Wideband DOA Estimation Using a Genetic Algorithm

• Published in: Sensors (Basel, Switzerland) Vol. 25; no. 9; p. 2915
• Main Authors: Zhao, Yonghong, Zheng, Gang, Wang, Junlong, Liu, Jisong, Dong, Shuxin, Xin, Jing
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 05.05.2025; MDPI
• Subjects: Accuracy; Algorithms; broadband signals; DOA estimation; Efficiency; genetic algorithm; Genetic algorithms; Machine learning; Methods; Musical performances; Neural networks; Radar; Signal processing; Spectrum allocation; support vector regression; DOA estimation; genetic algorithm; support vector regression; machine learning; broadband signals

High-precision direction of arrival (DOA) of wideband signals is a very important technology in the field of radar and communication. In this work, we propose an efficient support vector regression (SVR) architecture via a genetic algorithm (GA) for wideband DOA estimation, which exhibits high estim...