- 综合性科技类中文核心期刊
- 中国科技论文统计源期刊
- 中国科学引文数据库来源期刊
- 中国学术期刊文摘数据库（核心版）来源期刊
- 中国学术期刊综合评价数据库来源期刊
| Citation: |
DOU Huijing, GUO Wei, XIE Dongxu, GUO Hongliang. Improved Propagator Method for DOA Estimation Based on Fourth-order Cumulant[J]. Journal of Beijing University of Technology, 2024, 50(9): 1061-1068. DOI: 10.11936/bjutxb2023020007
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Aiming at the problem that the fourth-order cumulant has high computational complexity in multiple signal classification (MUSIC) and poor performance under low signal-to-noise ratio conditions, a modified fourth-order cumulant propagator method (MFOC-PM) was proposed. By introducing the propagation operator algorithm to obtain the noise subspace linearly, the algorithm avoided the computation caused by eigenvalue decomposition. To maintain the advantage of the aperture expansion of the fourth-order cumulant array and suppress Gaussian noise, the redundant part of the fourth-order cumulant was removed by the method of averaging and then removing. The experimental results demonstrate that the effectiveness and feasibility of the proposed MFOC-PM algorithm, which significantly reduces the computational complexity of the algorithm. Specifically, it achieves accurate angle estimation and performs well under low signal-to-noise ratio conditions. This indicates that the algorithm has significant practical value and can meet the requirements of DOA estimation in many practical application scenarios.
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