TY - GEN
T1 - Super-Resolution Estimation Method of Vortex Electromagnetic Wave Target Azimuth Based on the Improved MUSIC Algorithm
AU - Ze, Liu
AU - Gong, Yanyun
AU - Sun, Yandong
AU - Liu, Haochen
AU - Wang, Ling
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
PY - 2026
Y1 - 2026
N2 - In this paper, a super-resolution estimation method of vortex electromagnetic wave target azimuth based on the improved MUSIC algorithm is proposed, which significantly improves the accuracy of azimuth estimation under low signal-to-noise ratio (SNR) conditions through an eigenvalue correction strategy. The study establishes a uniform circular array (UCA) geometric model based on multiple-input-multiple-output (MIMO), utilizes vortex electromagnetic waves carrying orbital angular momentum (OAM) as the information carrier, and constructs the received signal matrix through modal domain sampling. Aiming at the performance degradation of the traditional MUSIC algorithm under coherent signal sources and low SNR conditions, a weighted correction method for the noise subspace eigenvalues is innovatively proposed, and the construction of the spatial spectral function is improved by optimizing the utilization rate of the noise eigenvalues. Simulation experiments show that the improved MUSIC algorithm has better target azimuth estimation performance compared with the traditional MUSIC and FFT methods.
AB - In this paper, a super-resolution estimation method of vortex electromagnetic wave target azimuth based on the improved MUSIC algorithm is proposed, which significantly improves the accuracy of azimuth estimation under low signal-to-noise ratio (SNR) conditions through an eigenvalue correction strategy. The study establishes a uniform circular array (UCA) geometric model based on multiple-input-multiple-output (MIMO), utilizes vortex electromagnetic waves carrying orbital angular momentum (OAM) as the information carrier, and constructs the received signal matrix through modal domain sampling. Aiming at the performance degradation of the traditional MUSIC algorithm under coherent signal sources and low SNR conditions, a weighted correction method for the noise subspace eigenvalues is innovatively proposed, and the construction of the spatial spectral function is improved by optimizing the utilization rate of the noise eigenvalues. Simulation experiments show that the improved MUSIC algorithm has better target azimuth estimation performance compared with the traditional MUSIC and FFT methods.
KW - Vortex electromagnetic wave
KW - improved MUSIC algorithm
KW - orbital angular momentum
KW - super-resolution estimation
KW - uniform circular array
UR - https://www.scopus.com/pages/publications/105042555222
U2 - 10.1007/978-981-95-8232-7_3
DO - 10.1007/978-981-95-8232-7_3
M3 - 会议稿件
AN - SCOPUS:105042555222
SN - 9789819582310
T3 - Lecture Notes in Electrical Engineering
SP - 23
EP - 33
BT - Proceedings of the 4th International Conference on Sensing, Measurement, Communication and Internet of Things Technologies
A2 - Zhao, Zhenyu
A2 - Jin, Peiquan
A2 - Zhang, Mingchuan
PB - Springer Science and Business Media Deutschland GmbH
T2 - 4th International Conference on Sensing, Measurement, Communication and Internet of Things Technologies, SMC-IoT 2025
Y2 - 28 November 2025 through 30 November 2025
ER -