电讯技术2024，Vol.64Issue(1)：106-113,8.DOI:10.20079/j.issn.1001-893x.220630001
基于张量四元数极化平滑的极化-DOA估计
Joint Polarization-DOA Estimation Based on Tensor Quaternion Polarization Smoothing
蓝晓宇 1高佳琦 1耿莽河 2王宇鹏1
作者信息
- 1. 沈阳航空航天大学 电子信息工程学院,沈阳 110136
- 2. 沈阳飞机工业(集团)有限公司,沈阳 110031
- 折叠
摘要
Abstract
In order to solve the problem that the estimation performance of the Polarization Smoothing Algorithm is relatively poor under the conditions of small snapshots and low signal-to-noise ratio(SNR),a polarization smoothing multiple signal classification(MUSIC)decoherence algorithm based on tensor quaternion is proposed by combining the orthogonal property of quaternion with covariance tensor method.Firstly,in order to take full use of the multi-dimensional structure information within the sampled received data,the polarization smoothing signal model of the cylindrical conformal array formulated by tensor quaternion is established.Secondly,the smoothed tensor covariance matrix is decomposed into signal subspace by higher order singular value decomposition(HOSVD).Finally,two-dimensional direction of arrival(DOA)estimation and polarization parameter estimation for incident coherent signals are performed by polarization rank deficient MUSIC algorithm.Simulation results show that the proposed algorithm performs better estimation accuracy and resolution under small snapshots and low SNR.关键词
相干信号/极化-DOA估计/张量四元数/极化平滑Key words
polarization-DOA estimation/coherent signal/tensor quaternion/polarization smoothing分类
信息技术与安全科学引用本文复制引用
蓝晓宇,高佳琦,耿莽河,王宇鹏..基于张量四元数极化平滑的极化-DOA估计[J].电讯技术,2024,64(1):106-113,8.
