DOA Estimation of Coherent Signals Based on Noise Subspace Reconstruction
- Resource Type
- Conference
- Authors
- Long, Ken; Zhao, Guifang; Mei, Yangzhou; Lin, Jinsong; Zhou, Yunhong
- Source
- 2022 IEEE 10th Asia-Pacific Conference on Antennas and Propagation (APCAP) Antennas and Propagation (APCAP), 2022 IEEE 10th Asia-Pacific Conference on. :1-2 Nov, 2022
- Subject
- Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Direction-of-arrival estimation
Azimuth
Simulation
Estimation
Transforms
Coherence
Multiple signal classification
- Language
A two-dimensional coherent signals DOA estimation algorithm is proposed. The proposed algorithm makes full use of the self-covariance and mutual covariance information of the received signals to perform noise subspace reconstruction to eliminate coherence. Then uses reduced dimensional root-finding transforms the two-dimensional polynomial solution into two one-dimensional polynomials, and achieves the automatic matching of azimuth and elevation. The simulation results show that the accuracy of the proposed algorithm is significantly better than others.